Peter Foldesi

Peter Foldesi
Széchenyi István University, Gyor · Logistics and forwarding

About

98
Publications
11,623
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
470
Citations
Citations since 2016
39 Research Items
307 Citations
20162017201820192020202120220204060
20162017201820192020202120220204060
20162017201820192020202120220204060
20162017201820192020202120220204060

Publications

Publications (98)
Chapter
In this paper we present our initial experiments with the Discrete Bacterial Memetic Evolutionary Algorithm for solving the Cumulative Capacitated Vehicle Routing Problem. The algorithm was tested on instances proposed in the literature. However our method was able to find the optimal solution for small (around 50 nodes) instances, but its converge...
Article
Full-text available
Hybrid vehicles are gaining increasing global prominence, especially in the military, where unexpected breakdowns or even power deficits are not only associated with greater expense but can also cost the lives of military personnel. In some cases, it is extremely important that all battery cells and modules deliver the specified amount of capacity....
Chapter
In this paper we analyze the efficiency of three TSP solver methods: the best-performing exact Concorde algorithm, the state-of-the-art inexact Helsgaun’s Lin–Kernighan heuristic and our Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA). In our analysis the run time predictability was also taken into account, not only the tour quality and t...
Chapter
In our paper we compare discrete memetic evolutionary metaheuristics (and other algorithms) which are applicable (also) for the widely studied and industrially applied (symmetric, Euclidean) NP-hard combinatorial optimization problem called Traveling Salesman Problem (TSP) such as DBMEA (Discrete Bacterial Memetic Evolutionary Algorithm), DMTLBO (D...
Chapter
In this paper we propose an image-based fingerprint recognition system. The method is based on Local Binary Pattern features extracted from the region of the fingerprint image around the core point. The experiments on the FVC2002 fingerprint databases show the effectiveness of the proposed approach.
Article
Full-text available
Marketing has a significant impact on logistics systems and corporate performance, so it is nowadays necessary to define a marketing logistics strategy in the lives of larger companies so that logistics decisions are not distorted by the marketing strategy. According to the current direction of development, smaller and smaller quantities of goods a...
Article
Full-text available
In modern logistics, companies and packaging engineers have to make decisions to find the optimal sustainable product-packaging system with adequate protection. The decision most often involves a decision option between disposable (single-trip) and reusable (returnable) packaging solutions. In practice, in most cases, this decision is based on hist...
Chapter
This study compares three fuzzy based model approaches for solving a realistic extension of the Time Dependent Traveling Salesman Problem. First, the triple Fuzzy (3FTD TSP) model, where the uncertain costs between the nodes depend on time are expressed by fuzzy sets. Second, the intuitionistic fuzzy (IFTD TSP) approach, where including hesitation...
Article
Full-text available
In this paper we revisit the memetic evolutionary family of metaheuristics, called Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA), whose members combine Furuhashi's Bacterial Evolutionary Algorithm and various discrete local search techniques. These algorithms have proven to be efficient approaches for the solution of NP-hard discrete op...
Article
Full-text available
This study proposes a new model and approach for solving a realistic extension of the Time-Dependent Traveling Salesman Problem, by using the concept of distance between interval-valued intuitionistic fuzzy sets. For this purpose, we developed an interval-valued fuzzy degree repository based on the relations between rush hour periods and traffic re...
Chapter
The Traveling Salesman Problem (TSP) is an NP-hard graph search problem. Despite having numerous modifications of the original abstract problem, Time Dependent Traveling Salesman Problem (TD TSP) was one of the most realistic extensions under real traffic conditions. In TD TSP the edges between nodes are assigned higher costs (weights), if they wer...
Chapter
In this paper we present our test results with our memetic algorithm, the Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA). The algorithm combines the Bacterial Evolutionary Algorithm with discrete local search techniques (2-opt and 3-opt).
Chapter
In the field of logistics packaging (industrial-, or even customer packaging), companies have to take decisions on determining the optimal packaging solutions and expenses. The decisions often involve a choice between one-way (disposable) and reusable (returnable) packaging solutions. Even nowadays, in most cases the decisions are made based on tra...
Chapter
In this paper we analyze the efficiency of the state-of-the-art methods for solving two TSP variants, the Traveling Salesman Problem with Time Windows and one-commodity Pickup-and-Delivery Traveling Salesman Problem. Three models (polynomial, exponential, square-root exponential) were fitted to the mean run times of each method. The parameters of t...
Chapter
The Traveling Salesman Problem (TSP) is one of the most extensively studied NP-hard graph search problems. Many researchers published numerous approaches for quality solutions, applying various techniques in order to find the optimum (least cost) or semi optimum solution. Moreover, there are many different extensions and modifications of the origin...
Presentation
INES 2019 conference 23rd IEEE International Conference on Intelligent Engineering Systems 2019 April 25-27 2019 Gödöllő, Hungary
Article
In today’s word the role of logistics is getting more important in the operation of enterprises. The competition is big, and cost is one of the most important factors. Logistics is a field which can highly support the reduction of the costs. From the other perspective – the customer satisfaction – logistics also has the role of a supportive functio...
Article
Full-text available
In our paper we compare discrete memetic evolutionary metaheuristics what are applicable for the widely studied and industrially applied (symmetric, euclidean) NP-hard combinatorial optimization problem called Traveling Salesman Problem (TSP) such as DBMEA (Discrete Bacterial Memetic Evolutionary Algorithm), DMTLBO (Discrete Memetic Teaching-Learni...
Chapter
In this paper we present a population based metaheuristic for solving the Minimum Latency Problem, which is the combination of bacterial evolutionary algorithm with local search techniques. The algorithm was tested on TSPLIB benchmark instances, and the results are competitive in terms of accuracy and runtimes with the state-of-the art methods. Exc...
Chapter
In the past half century of fuzzy systems they were used to solve a wide range of complex problems, and the field of recommendation is no exception. The mathematical properties and the ability to efficiently process uncertain data enable fuzzy systems to face the common challenges in recommender systems. The main contribution of this paper is to gi...
Article
Full-text available
Order picking is the most labour-intensive and costly activity of warehouses. The main challenges of its improvement are the synchronisation of warehouse layout, storage assignment policy, routing, zoning, and batching. Furthermore, the competitiveness of the warehouse depends on how it adapts to the unique customer demands and product parameters a...
Conference Paper
In this paper we present a new memetic algorithm, which is called Discrete Bacterial Memetic Evolutionary Algorithm for solving the Traveling Salesman Problem with time windows (TSPTW). This method is the combination of bacterial evolutionary algorithm with 2-opt and 3-opt local searches. The algorithm was already tested on symmetric Traveling Sale...
Conference Paper
In recent years a large number of evolutionary and other population based heuristics were proposed in the literature for solving NP-hard optimization problems. In 2015 we presented a Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA) for The Traveling Salesman Problem. It provided results tested on series of TSP problems. In this paper we pr...
Article
In this paper we present a novel universal metaheuristic, Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA), which is based on the combination of the Bacterial Evolutionary Algorithm and local search techniques, used for solving NP-hard optimization problems. The algorithm was tested on a series of symmetric Traveling Salesman Problems (TSP...
Article
In recent years, a large number of evolutionary and other population-based heuristics were proposed in the literature. In 2009, we suggested to combine the very efficient bacterial evolutionary algorithm with local search as a new Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA) (Farkas et al., In: Towards intelligent engineering & informa...
Article
Order picking is the most labour-intensive and costly activities in many warehouses by consuming ca. 55 % of the total operating expenses. Order picking development strategies mostly concentrate on warehouse layout, storage assignment policy, routing, zoning and on batching methods. The main challenges of order picking process improvements are the...
Conference Paper
Full-text available
The main contribution of this paper is to overview and discusses possible applications of fuzzy relational calculus to solve some issues and challenges of recommender systems. The presented ideas are targeting the most essential aspects of these problems, the knowledge representation and handling.
Conference Paper
Integrated Waste Management Systems (IWMS) are very complex systems with a lot of uncertainty. These can be defined as the selection and application of suitable techniques, technologies and management programs to achieve waste management objectives and goals. In order to support the decision making process in waste management we propose the use of...
Article
Full-text available
The authors have investigated the sustainability of Integrated Waste Management Systems (IWMS). These systems were modeled by Fuzzy Cognitive Maps (FCM), which are known as adequate fuzzy-neural network type models for multi-component systems with a stable state. The FCM model was designed of thirty-three factors to describe the real world processe...
Conference Paper
In this paper, we introduce a new design for modeling sustainable waste management systems. By its complexity, this model is much more precise in describing the real systems than those found in the relevant literature. We set up a model with six factors and then decomposed the constituting factors up to around thirty subcomponents, thereby establis...
Article
This paper illustrates developments of signatures for Artificial Intelligence (AI) applications. Since the signatures are data structures with efficient results in modeling of fuzzy inference systems and of uncertain expert systems, the paper starts with the analysis of the data structures used in AI applications from the knowledge representation a...
Conference Paper
Order picking is the most labour-intensive and costly activities in many warehouses by consuming ca. 60% of the total operating expenses. Order picking development strategies mostly concentrate on warehouse layout, storage assignment policy, routing, zoning and on batching methods, while the physical parameters of the products – which are hardly e...
Conference Paper
Order-picking is the most labour-intensive and costly activity of almost every warehouse, by exposing approximately 60% of the total operating expenses. Usually, the aim of order picking process development is to decrease the travelling distance (route optimization), as time spent by walking or by travelling is the most time-consuming activity duri...
Article
This paper presents a novel calculation of fuzzy exponent in the sigmoid functions for fuzzy neural networks. The investigated fuzzy neural network applies fuzzy input signals and crisp connection weights in the network's hidden and output layers. The applied calculation of fuzzy exponent is based on a parametric representation of the fuzzy exponen...
Article
This paper proposes a new pose estimation algorithm in the framework of robotic navigation problems. The algorithm gives the mobile robot (MR) pose on the basis of the difference between the MR desired pose and the MR current pose. With this regard the MR sensor readings and the readings of a virtual sensor are employed. The algorithm is advantageo...
Conference Paper
Full-text available
The subject of the paper is a personal assistant design. The goal of personal assistant is a daily activities list planning. The personal assistant will assist the costumer (human operator) for planning an optimum succession of desired activities. The solution is based on objective and subjective information. The paper focus on problem definition,...
Conference Paper
Full-text available
The BeerGame software is continuously developed in the Szabó-Szoba R&D Laboratory based on the original game invented by J. Forrester. This simulation helps the students, researchers, managers to understand the so-called system dynamics of supply chains. The software is applied on tablets or smartphones what makes us possible to hold trainings anyw...
Conference Paper
Order picking is one of the most time-consuming activities in warehousing. Having appropriate measurements and accurate data about the real time-requests of different operations like travel time, searching and picking time or setup time is inevitable for making the decisions about further logistics process developments. These parameters and the cor...
Conference Paper
Full-text available
The accurate routing is the base for an efficient and executable delivery system. One of the most important components of routing is the map. The databases of vehicle tracking help to refine the map of routing. A database about possible travel speeds depending on the time of day allows more accurate real life scheduling. The basis of this database...
Conference Paper
Intelligent robot cooperation tasks have very complex decision-making and computational processes. Collecting and calculating with a high amount of data is one of the weakest point of such system. In addition all of these it is necessary to process in real-time with limited computational capacity. In this paper we propose some novel algorithms for...
Conference Paper
In this paper we present a fuzzy resource allocation and assignment problem and propose two types of biologically inspired optimization methods to solve it. The resources in question are used for the maintenance of a network of nodes, each with its specific maintenance demands over time. Our goal is to assign sufficient capacities to storage locati...
Conference Paper
When decisions are made by human beings these choices are often “predictably irrational”. A large number of different biases effect the human beings' information processing systems. Because of the imperfect information processing system the decisions are imperfect as well, and very often some distortion appears in the solution. In our paper we prop...
Conference Paper
In optimization the constructed mathematical models are very often idealized mappings of the actual problem. Considering human decision-making processes there is always a chance that cognitive biases occur when constructing the objective function and the constrains. Misrepresented human desires in the objective function or in the constrains result...
Article
The paper deals with the investigation of the critical non-linear factors and NP-hard problems of real-life decision-making processes. When using non-linear utility/objective functions to represent the value of various options in the search space or when NP-hard problems arise, often soft computing techniques must be applied for optimization. Many...
Article
We present an analytic investigation of the bullwhip effect developing in production-distribution chains. All common considered causes of the effect are excluded and the only mean to induce a bullwhip type of instability is the adoption of an inventory replenishment policy involving a variable target level. The policy is designed to maintain a safe...
Conference Paper
In our paper we propose a new method for the strategic level performance measurement and decision making by presenting two case studies performed in 2011. We proposed a computational intelligence method to establish connection between basic operational level data and important strategic level indicators. In the first case study this indicator is re...
Conference Paper
Several variations exist of the shortest path problem depending on the type of the graph. The most common problems are the shortest path problem between two points and between every pair of points (the so called multiterminal minimal path problem). Beside this several other variations are known. One of them is the shortest path in a network having...
Conference Paper
This paper presents an evolutionary quasi-solution for a problem commonly occurring in practical logistics, the three-dimensional version of the bin packing problem. The algorithm presented here is a variation of the bacterial evolutionary approach, and utilizes fuzzy logic in the fitness calculation. The goal is to give a useful alternative method...
Conference Paper
Full-text available
Nowadays the various IT solutions provide possibilities in all fields of life for collect and make detailed analysis of data. With the help of these devices an opportunity presents itself to measure and record the effects which are occur in products during transportation. These data also can be pared with the geographical coordinates of the transpo...
Article
When optimizing multi-dimensional non-linear problems the optimal solution in technical terms can be found by heuristic methods. It seems that human thinking does not work properlywith the mathematical processing: human decisionmakers tend to reject options that represent extreme values in the set of parameters and are not able to handle many syste...
Article
In our paper we propose a new method for the strategic level performance measurement at a warehouse in Hungary. The growing challenge of remaining successful in the warehousing forced the given warehouse to introduce and use a new tool for monitoring and forecasting strategic level indicators. Our proposed tool uses computational intelligence to es...
Article
Full-text available
In this paper, we wrote about that packaging foam, which can be a critical component in the defense against the logistic stresses. The continuous developing of the materials gives us the possibility to apply new and possible environmental friendly packaging (EFP) materials. To apply these materials in practice we have to know many attributions for...
Article
This paper gives aspects related to a cooperation scenario in the framework of multiagent systems. The presentation is focused on a multiagent system that consists of two agents, the Master and the Apprentice. The theoretical basis of the cooperation scenario is the definition of the most probable process, and two algorithms are used with this rega...
Conference Paper
The article deals with the gravitation problem, which is widely used for solving different practical problems. First of all it is used to forecast the future traffic of a territory (Origin/destination problem). It is also used in the economy for forecasting the Leontief Input/Output table. It will be shown if the I-divergence is used for the sample...
Article
Szechenyi Istvan University (SIU) is one of the youngest universities in Hungary, however, the school has three century old origins. The immediate predecessor of SIU was an engineering college founded 40 years ago. In our paper we briefly summarize the two-decade history of transforming a traditional engineering college into a modern university wit...
Chapter
For designing and developing products/services it is vital to know the relevancy of the performance generated by each technical attribute and how they can increase customer satisfaction. Improving the parameters of technical attributes requires financial resources, and the budgets are generally limited. Thus the optimum target can be the achievemen...
Chapter
The paper deals with the investigation of the critical time factor of supply chain. The literature review gives a background to understand and handle the reasons and consequences of the growing importance of time, and the phenomenon of time inconsistency. By using utility functions to represent the value of various delivery-times for the different...
Article
Process chains are a common modeling paradigm for analysis and optimization of logistic processes, and are intensively used in many practical applications. The ProC/B toolset is a collection of software tools for modeling, analysis, validation and optimization of process chains. The ProC/B models can be translated into queueing networks or Petri ne...
Article
The aim of the traveling salesman problem (TSP) is to find the cheapest way of visiting all elements in a given set of cities and returning to the starting point. In solutions presented in the literature costs of travel between nodes (cities) are based on Euclidean distances, the problem is symmetric and the costs are constant and crisp values. Pra...
Conference Paper
The Origin-Destination (O/D) matrix is intensively used in long term traffic network planning. The matrix is used for forecasting the future traffic between the sections and for distributing the traffic. Several methods are known as a solution for this problem. In this paper it is shown that all these methods can be solved by the RAS algorithm. Fur...