Apu Kumar Saha

Apu Kumar Saha
National Institute of Technology Agartala · Department of Mathematics

M.Sc. PhD
Presently working on Metaheuristic Algorithms and MCDMs and their applications.

About

169
Publications
58,033
Reads
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1,301
Citations
Citations since 2017
136 Research Items
1270 Citations
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20172018201920202021202220230100200300400500600
20172018201920202021202220230100200300400500600
Introduction
Currently working at the Department of Mathematics, National Institute of Technology Agartala, India. Interested on Applied Mathematics such as Evolutionary Algorithms, Swarm Algorithms, Feature Selection, Image Processing, Multi-Criteria Decision Making, Waste Management, Waste Recycling etc.
Additional affiliations
April 2006 - February 2019
National Institute of Technology, Agartala India
Position
  • Professor (Assistant)
Description
  • Teaching and Research.

Publications

Publications (169)
Article
Whale optimization algorithm was developed based on the prey-catching characteristics of the humpback whales. Due to its simple structure and efficiency, the researchers employed the algorithm to address numerous disciplines’ numerous problems. The profound analysis of the whale optimization algorithm discloses that the algorithm suffers from low e...
Article
The sine cosine algorithm (SCA) is a population-based metaheuristic strategy that has been demonstrated competitive performance and has received significant attention from scientists in various fields. Regardless, like other population-based techniques, SCA also has a tendency to get stuck in adjacent optima and uneven exploitation. Given the short...
Article
Migration from a linear to a circular economy (CE) has become inevitable to reduce waste by making reusable products and materials. The present health care waste (HCW) management development has also been reformed due to this change. Since there is a strong connection between HCW management and CE, in this study, the HCW recycling technology select...
Article
Full-text available
Moth flame optimization (MFO) algorithm is a relatively new nature-inspired optimization algorithm based on the moth’s movement towards the moon. Premature convergence and convergence to local optima are the main demerits of the algorithm. To avoid these drawbacks, a modified dynamic opposite learning-based MFO algorithm (m-DMFO) is presented in th...
Article
Differential evolution (DE) is one of the highly acknowledged population-based optimization algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems. DE has grown steadily since its beginnings due to its ability to solve various issues in academics and industry. Different mutation techniques and parameter choi...
Article
Full-text available
The whale optimization algorithm (WOA), a biologically inspired optimization technique, is known for its straightforward design and effectiveness. Despite many advantages, it has certain disadvantages, such as a limited exploration capacity and early convergence as a result of the minimal exploration of the search process. The WOA cannot bypass the...
Presentation
Abstract: The Whale Optimization Algorithm (WOA) has been extensively utilized in numerous scientific and engineering fields for its simple and efficient behavior. However, it has some deficiencies, like slow convergence, stagnating at local optima and poor stability. To tackle these deficiencies, an improved variant of WOA, called QFWOA is introdu...
Article
Fermatean fuzzy set (FFS) is an expedient tool in today’s world for coping with uncertainty, ambiguity, and incompleteness that emerge in many decision-making processes. In light of the relevance of FFS, this work offers a Multi-Criteria Group Decision Making (MCGDM) method together with Bonferroni mean and weighted Bonferroni mean operators in FF...
Presentation
Abstract: The transverse-orientation process is at the heart of the new and innovative moth-flame optimization (MFO) technique, which draws inspiration from nature. This device incorporates a specialised form of navigational techniques that are symbolic of the direct flight of moths toward the moon at night. Although MFO has been successfully app...
Article
Full-text available
The local optima stagnation is a major issue with all meta-heuristic algorithms. In this paper, a hybrid slime mould algorithm (SMA) is proposed with the aid of quadratic approximation to address the aforesaid problem to expedite the explorative strength of slime mould in nature. As quadratic approximation performs better within the local confineme...
Article
Full-text available
This paper proposes an improvement to the dwarf mongoose optimization (DMO) algorithm called the advanced dwarf mongoose optimization (ADMO) algorithm. The improvement goal is to solve the low convergence rate limitation of the DMO. This situation arises when the initial solutions are close to the optimal global solution; the subsequent value of th...
Article
Recycling the essential components of lithium ion batteries (LIBs) has become more important than ever because these batteries include combustible and hazardous elements. At the same time, recovery of major components from LIBs might provide some economic benefits. The goal of this paper is to utilize a multi-criteria group decision making (MCGDM)...
Article
This paper uses the Butterfly Optimization Algorithm (BOA) with dominated sorting and crowding distance mechanisms to solve multi-objective optimization problems. There is also an improvement to the original version of BOA to alleviate its drawbacks before extending it into a multi-objective version. Due to better coverage and a well-distributed Pa...
Article
Full-text available
Because of its importance and numerous applications, the selection of the best supplier from a pool of accessible suppliers is gaining importance across the world. To reduce the cost of supply chain and to improve the quality of the products, selection of a relevant supplier has become one of the crucial decisions. The objective of this study is to...
Article
In material handling, warehousing, manufacturing and construction applications, forklifts are vital equipment, which are used to engage, lift and move palletized items. So, selection of the most appropriate forklift is an essential task for transportation of materials in warehouses for optimal use of the equipment. The present treatise introduces a...
Article
Due to the synergic interaction of matrix and reinforcement, the workability of polymeric composite materials has shown its dependency on compositions. In the present study, Weighted Aggregate Sum Product Assessment (WASPAS) has been applied for ranking the developed sustainable polymeric composite materials. The different properties of composite m...
Article
Full-text available
The Moth flame optimization (MFO) algorithm belongs to the swarm intelligence family and is applied to solve complex real-world optimization problems in numerous domains. MFO and its variants are easy to understand and simple to operate. However, these algorithms have successfully solved optimization problems in different areas such as power and en...
Article
Full-text available
This paper proposes a hybrid sine cosine butterfly optimization algorithm (m-SCBOA), in which a modified butterfly optimization algorithm is combined with sine cosine algorithm to achieve superior exploratory and exploitative search capabilities. The newly suggested m-SCBOA algorithm has been tested on 39 benchmark functions and compared with seven...
Article
Full-text available
A retaining wall is a structure used to resist the lateral pressure of soil or any backfill material. Cantilever retaining walls provide resistance to overturning and sliding by using backfill weight. In this paper, the weight and cost of the cantilever retaining wall have been minimized using a hybrid metaheuristic optimization technique, namely,...
Article
Full-text available
Whale optimization algorithm (WOA) has been developed based on the hunting behavior of humpback whales. Though it has a considerable convergence speed, WOA suffers from diversity in the solution due to the low exploration of search space. As a result, it tends to trap in local optima and suffer from low solution accuracy. This study proposes a nove...
Article
Full-text available
The Moth Flame Optimization (MFO) algorithm shows decent performance results compared to other meta-heuristic algorithms for tackling non-linear constrained global optimization problems. However, it still suffers from obtaining quality solution and slow convergence speed. On the other hand, the Butterfly Optimization Algorithm (BOA) is a comparativ...
Article
Full-text available
Because of their superior problem-solving ability, nature-inspired optimization algorithms are being regularly used in solving complex real-world optimization problems. Engineering academics have recently focused on meta-heuristic algorithms to solve various optimization challenges. Among the state-of-the-art algorithms, Differential Evolution (DE)...
Conference Paper
Full-text available
Moth flame optimization (MFO) algorithm is a relatively new nature-inspired optimization algorithm based on the moth's movement towards the moon. Premature convergence and convergence to local optima are the main demerits of the basic MFO algorithm. To avoid these drawbacks, a new variant of MFO algorithm, namely a modernized MFO (M-MFO) algorithm...
Article
An intuitionistic fuzzy random variable (IFRV) handles ambiguous, incomplete and ill-known data or information along with statistical variability, and deals with fuzzy number, grade of membership and non-membership functions and probability distribution function. So, taking such advantages of IFRV, we extend the classical continuous review inventor...
Article
Full-text available
Deep learning (DL) models are becoming pervasive and applicable to computer vision, image processing, and synthesis problems. The performance of these models is often improved through architectural configuration, tweaks, the use of enormous training data, and skillful selection of hyperparameters. The application of deep learning models to medical...
Article
Full-text available
The exposition of any nature-inspired optimization technique relies firmly upon its executed organized framework. Since the regularly utilized backtracking search algorithm (BSA) is a fixed framework, it is not always appropriate for all difficulty levels of problems and, in this manner, probably does not search the entire search space proficiently...
Article
Full-text available
Nature-inspired meta-heuristics have demonstrated superior efficiency in the solution of complicated nonlinear optimization problems than conventional techniques. In this article, an enhanced moth flame optimization (EMFO) is designed using the mutualism phase from the symbiotic organism search (SOS) algorithm. The suggested approach is examined on...
Research
Quantum-dot cellular automata (QCA) is field-coupled nanotechnology that achieves high device density, high switching speed, and low power dissipation. The flow of information within QCA is fully controlled by the position of the electrons only. A proper cell placement and its respective clock zone for the correct logic operation become the utmost...
Article
Full-text available
Backtracking search algorithm (BSA) is a nature-based optimization technique extensively used to solve various real-world global optimization problems for the past few years. The present work aims to introduce an improved BSA (ImBSA) based on a multi-population approach and modified control parameter settings to apprehend an ensemble of various mut...
Article
Full-text available
Though the Butterfly Bptimization Algorithm (BOA) has already proved its effectiveness as a robust optimization algorithm, it has certain disadvantages. So, a new variant of BOA, namely mLBOA, is proposed here to improve its performance. The proposed algorithm employs a self-adaptive parameter setting, Lagrange interpolation formula, and a new loca...
Article
Quantum-dot cellular automata (QCA) has gained an exclusive research focus on the current CMOS due to low power dissipation, less circuit area occupancy, and computational speed. The effectiveness of a QCA circuit is affected by the primary logic (majority vote and inverter). Hence, the minimization of these primitives for QCA logic circuit synthes...
Chapter
The operational performance of hydropower plants (HPPs) is largely affected as the output from the plant entirely depends on the rainfall and demand from consumers both of which are compromised due to the vulnerability in climatic patterns and rapid change in urbanization rate. Although, not all the parameters are equally affected and the present s...
Presentation
Abstract: The combined economic and emission dispatch (CEED) problem is a highly non-linear multi-objective problem with equality and inequality constraints and is considered as crucial task in operation and planning of power systems problem. Due to the conflicting nature of the objectives of CEED, it is popular among the researchers. On the other...
Article
Full-text available
A new pandemic disease named as novel corona virus disease (COVID-19) was discovered during end of 2019 in Wuhan city of China and was quickly spread throughout the globe. But, till now no medicine is available to fight against the infection caused by the disease. The infection may also be transmitted easily from person to person through highly inf...
Article
The symbiotic organisms search (SOS) algorithm was introduced by considering the relationships among the creatures in a natural ecosystem. Despite the superior efficiency of SOS, it has been observed that fixing benefit factors of mutualism phase at 1 or 2; the algorithm obstructs itself from an extensive and diverse search of the search region. Mo...
Article
Full-text available
Coronavirus disease 2019 (COVID-19) has caused a massive disaster in every human life field, including health, education, economics, and tourism, over the last year and a half. Rapid interpretation of COVID-19 patients' X-ray images is critical for diagnosis and, consequently, treatment of the disease. The major goal of this research is to develop...
Article
The significant physical challenges of Complementary Metal Oxide Semiconductor (CMOS) technology drives it on the brink of ultimate limit. With the surfacing of tremendous research findings, Quantum dot cellular automata (QCA) has emerged as a new technology in nanoscale era as a viable alternative to CMOS technology. Besides its wide acceptance, Q...
Article
The search for food stimulated by hunger is a common phenomenon in the animal world. Mimicking the concept, recently, an optimization algorithm Hunger Games Search (HGS) has been proposed for global optimization. On the other side, the Whale Optimization Algorithm (WOA) is a commonly utilized nature-inspired algorithm portrayed by a straightforward...
Article
Differential evolution and its variants have already proven their worth in the field of evolutionary optimization techniques. This study further enhances the success history-based adaptive differential evolution (SHADE) by hybridizing it with a modified Whale optimization algorithm (WOA). In the new algorithm, the two algorithms, SHADE and modified...
Article
Quantum dot Cellular Automata (QCA) are a prominent nanotechnology that is widely employed in digital circuits and systems. In comparison to complementary metal–oxide semiconductor (CMOS) technology, QCA is a remarkable and challenging alternative with many attractive aspects such as fast execution and low power use. To accomplish all arithmetic pr...
Article
Full-text available
The transistor-based CMOS technology is facing tremendous physical challenges in nano-scale design. The Quantum-dot cellular automata (QCA) have attracted the research focus as a prospective viable alternative to CMOS technology for future designs in the nano-scale. The cell interaction property helps in information propagation in QCA. The 3-input...
Article
The preparedness of Indian states and union territories (UTs) against the COVID-19 pandemic has been evaluated. Ten parameters related to demographic, socioeconomic, and healthcare aspects have been considered and the performances of 27 states and three UTs have been evaluated applying the Fuzzy Analytic Hierarchy Process. Opinions of medical exper...
Preprint
Convergence analysis of any random search algorithm helps to verify whether and how quickly the algorithm guarantees convergence to the point of interest. Butterfly optimization algorithm (BOA) is a popular population-based stochastic optimizer introduced by mimicking the foraging behaviors of butterflies in nature. In this paper, we have developed...
Article
Full-text available
The present CMOS VLSI technology is facing some challenges like working in nano scale, device density, power dissipation, operating frequency, fast execution, which demands a proper alternative. Quantum dot Cellular Automata (QCA) is one of the feasible substitutes for the same. In QCA, clocking is the primary driving source of power, and the flow...
Article
Full-text available
Notwithstanding the superior performance of the Whale optimization algorithm (WOA) on a wide range of optimization issues, the exploitation in WOA gets more preference during the search process, thereby compromising the solution accuracy and diversity and also increases the chance of premature convergence. In this study, a novel modified WOA (m-SDW...
Article
Full-text available
Symbiotic Organisms Search (SOS) algorithm is characterized based on the framework of relationships among the ecosystem species. Nevertheless, it is suffering from wasteful discovery, little productivity, and slack convergence rate. These deficiencies cause stagnation at the local optimum, which is hazardous in deciding the genuine optima of the op...
Article
Full-text available
The present article discusses the solute transport process in steady laminar blood flow through a non-Darcy porous medium, as a model for drug movement in blood vessels containing deposits. The Darcy–Brinkman–Forchheimer drag force formulation is adopted to mimic a sparsely packed porous domain, and the vessel is approximated as an impermeable cyli...
Article
Full-text available
Induced fuzzy infi topological space is already introduced by Saha and Bhattacharya [Saha A.K., Bhattacharya D. 2015, Normal Induced Fuzzy Topological Spaces, Italian Journal of Pure and Applied Mathematics, 34, 45-56]. In this paper for the said space, we further analyse some properties viz. fuzzy I-continuity, fuzzy infi open mappings and fuzzy i...
Chapter
The uncontrolled extraction followed by technological advancements and increasing population has induced an increase in Green House Gas concentration in the atmosphere and the outcome was global warming followed by the change in climatic pattern in different places of the world has reduced per capita availability of water. Due to climate change, wa...
Chapter
In India, water shortages and poor water quality continue to be major challenges in both domestic and industrial sectors. The methods that aim to optimize Water Treatment Systems can go some way towards addressing these pressing challenges. The change in climate and large scale urbanization has imbibed vulnerabilities in water and energy use of Sur...
Article
Full-text available
Quantum-dot cellular automata (QCA) is gaining worldwide popularity due to its higher device concentration, lower power indulgence, and better switching speed. The information flows in QCA with the polarization state defined by the placement of electrons instead of current flow. The cell interaction principle under the influence of the clocking zon...
Article
Full-text available
The conventional Butterfly Optimization Algorithm (BOA) does not appropriately balance the exploration and exploitation characteristics of an algorithm to solve present-day challenging optimization problems. For the same, in this paper, a novel hybrid BOA (MPBOA, in short) is suggested, where the BOA is combined with mutualism and parasitism phases...
Chapter
The ever-increasing population and their energy demand have raised the stress on conventional energy sources manifold. As the quantity of power supply is receding, the supplied energy consumption is required to be optimized for maximum utilization. The distribution of available energy must be so that the need of the consumer can be satisfied. But i...
Chapter
Full-text available
In recent years large-scale conversions of land use have been taking place worldwide to sustain the ever-growing population. As a result, parameters such as vegetation type, air temperature, relative humidity, soil moisture, and movement of the wind have been markedly affected. Many studies have examined the impact of urbanisation on temperature or...
Chapter
In geotechnical engineering, investigation of seismic earth pressure coefficient is a fundamental theme of study for retaining wall. During this study, the seismal active earth pressure coefficient on the rear of the wall supporting c − Φ backfill has been formulated by the help of limit equilibrium method. This type of problems is highly complex n...
Chapter
Nature-inspired metaheuristic algorithms along with their improved and hybrid versions have been gaining intrinsic popularity in solving nonlinear constrained complex real-world problems. On this presentation, a new hybrid butterfly optimization algorithm (BOA), viz. BOSCA combined with sine cosine algorithm (SCA) is suggested to develop a balanced...
Article
Full-text available
Quantum-dot Cellular Automata (QCA) has emerged as one of the alternative technologies for current CMOS technology. It has the advantage of computing at a faster speed, consuming lower power, and work at Nano- Scale. Besides these advantages, QCA logic is limited to its primitive gates, majority voter and inverter only, results in limitation of cos...
Presentation
Introduced an upgraded version of the moth flame optimization (MFO) algorithm named modified MFO algorithm (in short m-MFO) to reduce the shortcomings of the basic MFO algorithm.
Article
The significant physical challenges of Complementary Metal Oxide Semiconductor (CMOS) technology drives it on the brink of ultimate limit. With the surfacing of tremendous research findings, Quantum dot cellular automata (QCA) has emerged as a new technology in nanoscale era as a viable alternative to CMOS technology. Besides its wide acceptance, Q...
Article
One of the main issues with heuristics and meta-heuristics is the local optima stagnation phenomena. It is often called premature convergence, which refers to the assumption of a locally optimal solution as the best solution for an optimization problem and failure in finding the global optimum. Whale Optimization Algorithm (WOA) has demonstrated it...
Article
Full-text available
The study investigates the effect of wall reaction on the species transport in a pulsatile flow of Casson fluid through an annulus. The transport process is analyzed by means of the dispersion coefficient, which uses the technique of the method of moments. The equations of momentum along with the statistical moments are solved numerically using a f...
Article
The mathematical model of hydrodynamic dispersion through a porous medium is developed in the presence of transversely applied magnetic fields and axial harmonic pressure gradient. The solute introduce into the flow is experienced a first-order chemical reaction with flowing liquid. The dispersion coefficient is numerically determined using Aris’s...
Article
Full-text available
In the consumerist world, there is an ever-increasing demand for consumption in urban life. Thus, the demand for shopping malls is growing. For a developer, site selection is an important issue as the optimal selection involves several complex factors and sub-factors for a successful investment venture. Thus, these tangible and intangible factors c...
Article
Full-text available
Quantum-dot cellular automata (QCA) gains a notable attraction in the emerging nanotechnology to get the better of power consumption, density, nano-scale design, the performance of the present CMOS technology. Many designs have been proposed in QCA for an arithmetic circuit like adder, divider, parity checker and comparator etc. Most of the designs...
Article
The population-based efficient iterative evolutionary algorithm (EA) is differential evolution (DE). It has fewer control parameters but is useful when dealing with complex problems of optimization in the real world. A great deal of progress has already been made and implemented in various fields of engineering and science. Nevertheless, DE is pron...
Article
Full-text available
The uncertainty in the water-based renewable energy systems reduces the plant capacity. However, real-time monitoring of hydropower plants ensures optimality and continuous faultless performance from the plant. But the implementation of real-time systems has always increased the overall operation cost of the power plant due to the continuous monito...
Article
Full-text available
The present study tries to utilize the advantage of multi-criteria decision-making (MCDM) methods in the selection of an ideal location for installation or relocation of surface water treatment plant (SWTP). But among the existing MCDM methods, the selection of features and their importance is determined by the decision-maker. Also a decision from...