Ashok Pal

Ashok Pal
Chandigarh University · Department of Mathematics

M.Sc M.Phil Ph.D

About

73
Publications
3,946
Reads
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37
Citations
Introduction
Ashok Pal currently working at Department of Mathematics, Chandigarh University. Area of research of Ashok Pal is Computational Intelligence for Optimization.
Additional affiliations
August 2018 - July 2020
Chandigarh University
Position
  • Head of Faculty
Description
  • Teaching, Research and all others Administrative, Curricular and Co-Curricular Activities
July 2018 - present
Chandigarh University
Position
  • Professor
Description
  • Teaching, Research and all others Administrative, Curricular and Co-Curricular Activities
January 2016 - June 2018
Chandigarh University
Position
  • Professor (Associate)
Description
  • Teaching, Research and all others Administrative, Curricular and Co-Curricular Activities
Education
January 2009 - July 2015
Punjabi University, Patiala (in Collaboration with IITR)
Field of study
  • Mathematics
July 2001 - July 2002
July 1998 - July 2002
Indian Institute of Technology Roorkee
Field of study
  • Industrial Mathematics and Informatics

Publications

Publications (73)
Chapter
Computational intelligence helps in detecting erroneous decisions and fastens the whole process of decision making by applying various techniques. In this study, we will discuss the Biogeography Based Optimization (BBO) and further it will be divided into three parts, firstly, we will describe natural biogeography of BBO with the help of model and...
Article
Full-text available
Wireless Sensor Networks (WSNs) is one of the most widely employed technology because it has numerous applications in almost every walk of life. The analytical results available for large-scale WSNs cannot be utilised to estimate the performance of WSNs deployed in a finite region due to Boundary Effects (BEs). In addition, wireless channel charact...
Conference Paper
The study here summarizes the workgrowth in "Particle Swarm Optimization (PSO)"since (1995 to 2021). Thirty-five papers have been analysed. Those research articles have been divided into various aspects in which PSO technique has been modified a lot during these years due to its simplicity. The hybridization of PSO with many evolutionary algorithms...
Conference Paper
Mayfly Optimization is the recently developed optimization algorithm by Konstantinos Zervoudakis and Stelios Tsafarakis in the year 2020. It is inspired from the mating process and flight behavior of mayflies and it is proposed with enhanced hybridization of the swarm algorithms and evolutionary algorithms for solving out the optimization complicat...
Conference Paper
Cuckoo Search" was developed by Xin-She Yang and S. Deb in 2009. It is nature inspired approach relies on some species brood parasitism. Cuckoo Search in combined with Levy flights is firstly applied on several nonlinear constrained benchmark functions and its results are outstanding comparing to other existing algorithms. Cuckoo search parameters...
Article
Background The Particle Swarm Optimization (PSO) algorithm is amongst the utmost favourable optimization algorithms often employed in hybrid procedures by the researchers considering simplicity, smaller count of parameters involved, convergence speed and capability of searching global optima. The PSO algorithm acquires memory and the collaborative...
Conference Paper
With a view to assort the difficult tasks in distinct domains of pharmaceutical, technical, horticultural, WSNs are spreading speedily. In WSNs the remarkably practical and novel research domains coverage and dispersion schemes. In WSNs dispersion schemes precisely control the functioning of the networks. In disorderly dispersion employment of enor...
Chapter
Path planning is a computational problem called the navigation problem or the piano mover’s problem that requires establishing the sequence of viable designs that takes an object from its origin towards its destination. Computational modeling, computer animation, robotics, and computer gaming all use the phrase. A competent path planning technology...
Article
Particle Swarm Optimization (PSO) algorithm is amongst the prominent population dependent search procedure and was originally established on the communal conduct and intelligence of birds inside a swarm. Further, PSO algorithm is used as a prominent tuning tool for fuzzy logic controllers. Nevertheless, it still experiences abundant difficulties wh...
Article
The grey wolf optimizer (GWO) is a promising neoteric algorithm for the optimization of swarm intellect and it draws inspiration from the power structure of Canis lupus wolves. There may be some downsides to the current grey wolf optimization algorithm, like slow convergence speed, low precision, and so forth. Here, a neoteric hybrid algorithm focu...
Chapter
Path planning is a computational problem which is also referred as the navigation problem or the piano mover's problem that requires establishing the sequence of viable designs that takes an object from its origin towards its destination. Computational modeling, computer animation, robotics, and computer gaming all use the phrase. A competent path...
Preprint
Rummaging conduct of social animals has consistently involved investigation for the improvement of enhancement calculations. Creepy crawly Monkey Optimization is a worldwide streamlining calculation motivated by FFS(Fission-Fusion social) development of insect monkeys throughout their looking out conduct. SMO stunningly portrays two crucial ideas o...
Article
Coverage is one of the most importance performance metric of wireless sensor networks as it shows a well a region of interest is being monitored by deployed network.It is found that the binary sensing range model does not reflect the true sensing characteristics of sensor nodes as it ignores the environmental factors affecting the sensing capabilit...
Article
Coverage is a crucial quality of service (QoS) parameter for wireless sensor networks (WSNs), which tells how effectively the deployed network monitors a given region. Analytical models available for the coverage analysis of finite WSNs are not scalable for large networks due to boundary effects (BEs).The effective coverage area (ECA) of a sensor n...
Article
Coverage is one of the most critical performance metric of wireless sensor networks (WSNs) because it shows how well a region of interest (RoI) is being monitored by the deployed network. In general, the RoI is either circular or rectangular in shape which have boundary regions. Sensor nodes (SNs) deployed in these regions suffer boundary effects (...
Book
In this report, single step methods of IVP from ODE has been studied. Various methods such as Taylor’s Series technique, Euler’s technique, Euler Modified and Runge Kutta first, second, third, fourth order has been described. These methods are critically studied and differentiated. Comparative study of these methods have been done using different s...
Book
As we know that mathematics field is one of the most applicable fields in science area such as Physics, chemistry, biology, mechanics, computer and all engineering part, so numerical analysis is also applicable for mathematics and it is a famous part of mathematics as well. As we understand mathematics field has so many topics and partial different...
Preprint
In this era of Artificial Intelligence, Optimization using metaheuristic algorithms plays a vital role in solving tremendous Engineering as well as Real life problems. Metaheuristic algorithms has predominant role in solving NP hard problems as it is applicable on non linear as well as large scale problems. In this work we will see the hybrid of va...
Preprint
The "trim Trim loss issue" (TLP) perhaps uttermost intriguing issues with regards to structure of advancement research It targets to determine the best cutting example of several things of varying lengths from a load of regular size measurable to meet the clients' wants while reducing waste due to trim misfortune. The subsequent numerical pattern i...
Preprint
With an objective to upgrade the potential of Particle Swarm Optimization (PSO) to exploit along with preventing PSO of getting trapped in local minima, an adjustable hybrid algorithm is proposed by fusing PSO with Grey Wolf Optimizer (GWO). In this hybrid the optimization procedure is governed with the help of two driving parameters. We have evalu...
Article
Binary sensing range model does not imitate the true sensing characteristics of sensor nodes (SNs) as it ignores the environmental factors affecting the sensing abilities of SNs, thus, over estimates the coverage performance. To consider the influence of environmental factors in the sensing characteristics, Elfes sensing model was proposed which is...
Research Proposal
Submission ID: 1473194250 File name: FINAL_SYNOPSIS_1.pdf (407.8K) Word count: 3297 Character count: 18375
Article
A neoteric hybrid algorithm focused on GreyWolf Optimizer (GWO) and Improved modified Simulated Annealing Algorithm called Annealed-Grey Wolf Optimizer is suggested here to gain advantages and overcome their disadvantages. Grey wolf optimizer is a metaheuristic swarm intelligence method and has been used widely due to its superb characteristics whi...
Article
Travelling Salesman Problem is widely researched optimization problem in computational mathematics as it was originated 6 decades ago. It gives the shortest possible route for the person who is visiting number of cities for a particular purpose so that cost or distance can be minimized. The distances between every two cities will be given. The pers...
Article
River Yamuna, a tributary of river Ganges has been acclaimed as the lifeline of northern India. From the past few decades Yamuna has been exposed to extensive deterioration and pollution. The 22 km Delhi segment of Yamuna River is established as the leading contributor and is responsible for more than three quarters of the total pollution load. Unt...
Article
Vehicle routing problem with so many restraints are attaining intensively significance. Because of present day needs like fast and furious delivery , in particular, dynamic variant of the issue are getting much preponderance. In DVRP, customer demands are unacquainted and are revealed posterior taking certain discretion. Another different kind dyna...
Article
The outbreak of novel Corona virus has been stated as a pandemic by World Health Organisation. The World Health Organisation enunciates to all of the countries in the world to continue efforts that have been effective in limiting the number of cases and slow down the spread of the virus. Social dis-tancing has been addressed as the most effective m...
Article
Yamuna, the sub-basin of the river Ganga is regarded as one of the most sacred river of Northern India. Despite of such an esteem status, multiplying population and enlarging industrial and agricultural activities Yamuna is struggling to survive. The Yamuna is the most polluted in its Delhi stretch. Delhi is alone guilty for 76% of the total pollut...
Method
The grey wolf optimizer (GWO) is a promising new algorithm for the optimization of swarm intellect and it draws inspiration by the power structure of Canis lupus wolves. There may be some downsides to the current grey wolf optimization algorithm, like slow convergence speed, low precision, and so forth. In this paper a neoteric hybrid algorithm foc...
Article
Freshwater is essential for life. The availability of freshwater has been recognized as a global issue and valid assessment and quantification of it is necessary to reinforce the sustainable management of water. The Ganga River is the most important river in the world. This river is of immense significance with an estimated 440 million people direc...
Article
Water resource pollution and water shortage is a matter of ongoing concern worldwide. An imperative segment of water resource management is water quality estimation and prediction. The quality of water can be assessed by using a set of physical, chemical and biological variables or parameters constituting Water Quality Index (WQI). Effective water...
Article
In modern age, waste generation is an important problem for masses not only due to its increasing level but also for the increasing trouble due to production of some hazardous components. In reverse logistics, Waste Collection is an Intensive pertinent pursuit and how efficaciously waste collection can be done is a field of rectification. This pape...
Article
To secure human being health, atmosphere and to sustain naturalistic estate municipal solid waste management is a prime consideration of local authorisation. Advancement in MSWM is a complicated procedure. Indispensable stipulation for accomplished MSWM is the forecasting ability about the solid waste generation. Forecasting about the mass of gener...
Conference Paper
Evolutionary Multi-objective optimization (EMO) algorithms are effectively used for solving many optimization problems in the existing literature. Infact there are many multi-objective optimization algorithms based on Evolutionary algorithms such as genetic algorithm (GA), differential evolution (DE), Neuro evolution, Genetic programming and Evolut...
Conference Paper
Forest are the crucial part of our environment, for well being of the human as well the other living beings. As Forests regulate water cycles, maintain soil quality, and reduce the risks of natural disasters such as floods, earthquakes, landslides, avalanches etc. In this study we are going to predict the weather for tropical dry deciduous forests...
Book
Efforts have been made to bring the tremendous and rich diversity of authors and speakers from the reputed Research Institutes, Universities and Industry to share their ideas and new perspectives on a wide range especially on Mathematics. The endeavor to take forward the Mathematics for a sustainable future is intended to create an open space netwo...
Article
Nowadays face recognition is the most prominent application for the image analysis. As it is widely used in the form of biometric system. In today’s world biometric system is used everywhere for authentication purpose. As everyone has highly dynamic face for this a wide range of challenges come across to overcome this problem and to develop a compu...
Book
In the present era, there is a rapid developments in the field of advanced materials which will improve the performance of advanced technologies. Researchers are developing such technologies in Materials Science and HEP experiment, which can help to reduce the efforts of Scientists for solving various problems. In order to meet the current requirem...
Article
The effectiveness of a HVPSO algorithm proposed by Pal (Decision making in crisp and fuzzy environments using particle swarm optimization, 2015 [1]) has focused to solve the problems of optimization in fuzzy background on eight test problems taken from the literature The problems of optimization in the present paper are solved by using the objectiv...
Article
Water resource pollution and water shortage is a matter of ongoing concern worldwide. An imperative segment of water resource management is water quality estimation and prediction. The quality of water can be assessed by using a set of physical, chemical and biological variables or parameters constituting water quality index (WQI). Effective water...
Article
Nowadays face recognition is the most prominent application for the image analysis. As it is widely used in the form of biometric system. In today’s world biometric system is usedeverywhere for authentication purpose. As everyone has highly dynamic face for this a wide range of challenges come across to overcome this problem and to develop a comput...
Chapter
In the present chapter a meta heuristic algorithm named Grey wolf optimizer is presented. Its inspiration, working, pseudo code and positive aspects are also explained in it.
Book
Many algorithms based on the swarming behavior of a variety of creatures like honey bees ,ants, fishes, birds have been developed in the literature by the researchers in recent years as Particle Swarm Optimization(PSO)[1], Ant Colony Optimization (ACO)[2], Artificial Bee Colony (ABC)[3] and Differential Evolution (DE)[4] algorithms etc.Various popu...
Book
This work is divided into a sequence of steps. The content of each step is described in chapters, and each chapter includes the work from basic information to the completion of some sequential step. The organization this work is as follows. In Chapter-1 some very basic introduction about the term optimization and also a brief introduction are given...
Book
A swarm is a large number of homogenous simple agents interacting locally among themselves and their environment with no central control to allow a global interesting behavior to emerge. Swarm-based algorithms have recently emerged as a family of nature-inspired, population-based algorithms that are capable of producing low cost, fast, and robust s...
Conference Paper
Trim loss optimization problem [1] is one of the most challenging problems in the field of optimization theory. Its purpose to determine the optimal cutting patterns of the number of items with different lengths from a reserve of standard size material to fulfill the demand of customers that the wastage due to the trim loss should be minimized. Pac...
Conference Paper
Heuristic based computational techniques for optimization do not guarantee to determine a global optimal solution for a problem of optimization but are usually capable to find the best solution. Ant Colony Optimization (ACO) algorithms are known to fitted in the class of heuristics based computational technique for optimization on the behavior of n...
Conference Paper
Data envelopment analysis (DEA) is a linear programming based procedure for measuring the comparative performance of an organizational units in which the presence of various inputs and outputs makes comparisons difficult. DEA technique usually is also known as frontier analysis method in operations research and economics was firstly suggested by Ch...
Conference Paper
Full-text available
Combinatorial Optimization is a field of optimization where domain of optimal solution is either discrete or can be changed into a discrete set of solutions. The aim of combinatorial optimization problems is to find a best optimal solution for these problems subject to the constraints of discrete set of options or solutions. The combinatorial optim...
Article
Nature inspired optimization algorithms are the most important areas of computational intelligence, soft computing and optimization theory have pulled in light of a legitimate concern for some analysts as of late. The research in these areas cover a broad range of topics from basic research to a large number of real world application problems in sc...
Article
Cells are the smallest unit of life and are considered to be as the building blocks of life. Our body is consists of number of cells that grow and divide to form new cells and eventually die. But in the case of cancer, the cell grows uncontrollably and spread to the other parts of the body as well, and forms a growth called tumor. Though it is not...
Book
Mathematics expresses itself everywhere, almost in every facet of life in nature around us, technological gadgets in our hand, the list may move to infinity. Mathematics is the foundation of science and engineering, formulating the understanding of what we observe. Scholars, researchers, mathematicians shared their research experiences, analysis an...
Presentation
The Act/law of patents seeks to provide for legal protection for inventions. The rights granted under the Act at National and International Level.
Presentation
• Everyone, everyday everywhere and in every sphere of real life situations has to take decisions in this complex world. Decisions may involve a single or several objectives that are conflicting in nature. The decision maker may be an individual or a group of individuals. There are number of options/solutions for the problems arise in our day to da...
Thesis
In the present thesis, the effectiveness of particle swarm optimization algorithm has been considered for solving different types of single and multi-objective optimization problems including some practical problems of engineering and physical sciences. Optimization problems arises in several fields of science, engineering and industry like Electri...
Presentation
In this presentation, a modified particle swarm optimization algorithm named Random Search Quadratic approximation Particle Swarm Optimization (RQPSO) algorithm has been proposed and Applied on different benchmark functions of Mathematical Problems of Optimization. The experimental results and comparison show that its performance is efficient on th...
Article
ABSTRACT Particle Swarm Optimization (PSO) is a very popular population based heuristic search algorithm for optimization developed by Eberhart and Kennedy in 1995[1], usually requires a large number of fitness evaluations to reach the global optima. PSO algorithm is easy to implement and has been proven to be very competitive for solving diverse g...
Conference Paper
ABSTRACT Particle Swarm Optimization (PSO) is a very popular population based heuristic search algorithm for optimization developed by Eberhart and Kennedy in 1995[1], usually requires a large number of fitness evaluations to reach the global optima. The PSO algorithm is easy to implement and has been proven to be very competitive for solving diver...
Article
Suitable solutions for multi-objective optimization problems are investigated as a set of solutions in the literature, each of which satisfies the objectives at an acceptable level without being dominated by any other solution. The proposed algorithm in this paper is a hybrid of the particle swarm optimization algorithm [1] and a random search tech...
Conference Paper
This paper presents strategy of particle swarm optimization (PSO) algorithm introduced by Kennedy and Eberhart [1] for solving fractional programming problems. Particle swarm optimization (PSO) is a population-based optimization technique, which is an alternative tool to genetic algorithm (GA) and other evolutionary algorithms (EA) and has gained l...
Article
This paper presents use of Particle Swarm Optimization (PSO) algorithm introduced by Kennedy and Eberhart [1] for solving Integer and Mixed Integer Optimization problems. In PSO, The potential solutions, called particles, are flown through the problem space by learning from the current optimal particle and its memory. PSO is started with a group of...
Conference Paper
Particle swarm optimization (PSO) is a population-based optimization technique, which is an alternative tool to genetic algorithm (GA) and other evolutionary algorithms (EA) and has gained lot of attention in recent years. PSO is a stochastic search technique with reduced memory requirement, computationally effective and easier to implement as comp...
Conference Paper
Incidence of aneurysms in the communicating artery system leads to impairments of flow characteristics when compared to physiological conditions. Swelling of aneurysms >10mm (diameter) leads to implausible velocity distribution in the daughter branches of bifurcation, the decrease in flux. Swelling 10mm alerts the rupture of dilated region, which s...
Technical Report
In many defense applications study of propagation and attenuation of shock fronts through various media is required. In certain applications, the media through which the shock propagates may consist of various materials spared by one or more interfaces. In the present study we have considered shock propagation through a composite medium consisting...

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Projects

Projects (4)
Project
I shall intend to design certain efficient computational techniques for solving some real life optimization problems arising in industry, engineering and finance which will be rich in various resources and need be efficiently harnessed for the benefit of society.
Archived project
to provide actual solution