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Wyświetlanie 1-15 z 29
Tytuł:
Benchmark Tests on Heuristic Methods in the Darts Game
Autorzy:
Książek, K.
Połap, D.
Woźniak, M.
Powiązania:
https://bibliotekanauki.pl/articles/226713.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
metaheuristics
optimization
computational intelligence
Opis:
Games are among problems that can be reduced to optimization, for which one of the most universal and productive solving method is a heuristic approach. In this article we present results of benchmark tests on using 5 heuristic methods to solve a physical model of the darts game. Discussion of the scores and conclusions from the research have shown that application of heuristic methods can simulate artificial intelligence as a regular player with very good results.
Źródło:
International Journal of Electronics and Telecommunications; 2018, 64, 2; 115-121
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Selecting a good configuration of one-way and two-way routes using tabu search
Autorzy:
Drezner, Z.
Salhi, S.
Powiązania:
https://bibliotekanauki.pl/articles/206880.pdf
Data publikacji:
2000
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
metaheuristics
network design
tabu search
Opis:
The problem of designing a near optimal configuration of a system of one-way and two-way routes is investigated. Each arc of the network can be designed as either a two-way arc or a one-way arc in one of the two directions. The traffic speed on a one-way arc is faster than the speed on a two-way arc by a given factor. The problem is to design a network which minimizes total travel time between all pairs of nodes by the proper selection of one-way and two-way arcs. Efficient implementations of the metaheuristic tabu search are designed for solving this network design problem. These approaches are tested on a set of network problems with encouraging results.
Źródło:
Control and Cybernetics; 2000, 29, 3; 725-740
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Contemporary Methods for Graph Coloring as an Example of Discrete Optimization
Autorzy:
Bilski, Adrian
Powiązania:
https://bibliotekanauki.pl/articles/226705.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
graph coloring
chromatic number
metaheuristics
Opis:
This paper provides an insight into graph coloring application of the contemporary heuristic methods. It discusses a variety of algorithmic solutions for The Graph Coloring Problem (GCP) and makes recommendations for implementation. The GCP is the NP-hard problem, which aims at finding the minimum number of colors for vertices in such a way, that none of two adjacent vertices are marked with the same color.With the advent of multicore processing technology, the metaheuristic approach to solving GCP reemerged as means of discrete optimization. To explain the phenomenon of these methods, the author makes a thorough survey of AI-based algorithms for GCP, while pointing out the main differences between all these techniques.
Źródło:
International Journal of Electronics and Telecommunications; 2019, 65, 2; 235-243
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Parallel patterns determination in solving cyclic flow shop problem with setups
Autorzy:
Bożejko, W.
Chaczko, Z.
Uchroński, M.
Wodecki, M.
Powiązania:
https://bibliotekanauki.pl/articles/229926.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
cyclic scheduling
parallel algorithm
metaheuristics
Opis:
The subject of this work is the new idea of blocks for the cyclic flow shop problem with setup times, using multiple patterns with different sizes determined for each machine constituting optimal schedule of cities for the traveling salesman problem (TSP). We propose to take advantage of the Intel Xeon Phi parallel computing environment during so-called ’blocks’ determination basing on patterns, in effect significantly improving the quality of obtained results.
Źródło:
Archives of Control Sciences; 2017, 27, 2; 183-195
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Tabu Search for target-radar assignment
Autorzy:
Hindsberger, M.
Vidal, R.
Powiązania:
https://bibliotekanauki.pl/articles/205568.pdf
Data publikacji:
2000
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
assignment
combinatorial optimization
metaheuristics
tabu search
Opis:
In this paper the problem of assigning air-defense illumination radars to enemy targets is presented. A Tabu Search metaheuristic solution is described and the results achieved are compared to those of other heuristic approaches. Implementation and experimental aspects are discussed. It is argued that Tabu Search could be used in near realtime decision making systems.
Źródło:
Control and Cybernetics; 2000, 29, 3; 701-724
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fine tuning of agent-based evolutionary computing
Autorzy:
Mizera, Michal
Nowotarski, Pawel
Byrski, Aleksander
Kisiel-Dorohinicki, Marek
Powiązania:
https://bibliotekanauki.pl/articles/91820.pdf
Data publikacji:
2019
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
multi-agent systems
metaheuristics
evolutionary computing
Opis:
Evolutionary Multi-agent System introduced by late Krzysztof Cetnarowicz and developed further at the AGH University of Science and Technology became a reliable optimization system, both proven experimentally and theoretically. This paper follows a work of Byrski further testing and analyzing the efficacy of this metaheuristic based on popular, high-dimensional benchmark functions. The contents of this paper will be useful for anybody willing to apply this computing algorithm to continuous and not only optimization.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2019, 9, 2; 81-97
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A critical review of the newest biologically-inspired algorithms for the flowshop scheduling problem
Autorzy:
Duda, J.
Powiązania:
https://bibliotekanauki.pl/articles/1943277.pdf
Data publikacji:
2007
Wydawca:
Politechnika Gdańska
Tematy:
flowshop scheduling
metaheuristics
local search
hybrid algorithms
Opis:
The three most recent bio-inspired heuristics proposed in the OR literature for solving the flowshop scheduling problem are revised in the paper. All of these algorithms use local search procedures to improve solutions achieved by the main procedure. The author tries to asses the gains from hybridizing such heuristics with local search procedures. The achieved results confirm that simple local search algorithms can compete successfully with much complex hybrids.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2007, 11, 1-2; 7-19
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Tabu search - a guided tour
Autorzy:
Hindsberger, M.
Vidal, R.
Powiązania:
https://bibliotekanauki.pl/articles/205563.pdf
Data publikacji:
2000
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
combinatorial optimization
local search
metaheuristics
tabu search
Opis:
The main purpose of this paper is to provide an overview of the ideas behind Tabu Search - one of the most popular metaheuristic appoaches. For the sake of concreteness a simple example of the traveling salesman problem will be used in the discussion to illustrate the process of designing a Tabu Search algorithm. In addition, some extensions will be presented. Finally, applications will also be provided as well as references to more specialized publications.
Źródło:
Control and Cybernetics; 2000, 29, 3; 631-651
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fundamentals of scatter search and path relinking
Autorzy:
Glover, F.
Laguna, M.
Marti, R.
Powiązania:
https://bibliotekanauki.pl/articles/205907.pdf
Data publikacji:
2000
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
optymalizacja
evolutionary methods
metaheuristics
optimization
tabu search
Opis:
The evolutionary approach called Scatter Search, and its generalized form called Path Relinking, have proved unusually effective for solving a diverse array of optimization problems from both classical and real world settings. Scatter Search and Path Relinking differ from other evolutionary procedures, such as genetic algorithms, by providing unifying principles for joining solutions based on generalized path constructions (in both Euclidean and neighborhood spaces) and by utilizing strategic designs where other approaches resort to randomization. Scatter Search and Path Relinking are also intimately related to the Tabu Search metaheuristic, and derive additional advantages by making use of adaptive memory and associated memory-exploiting mechanisms that are capable of being adapted to particular contexts. We describe the features of Scatter Search and Path Relinking that set them apart from other evolutionary approaches, and that offer opportunities for creating increasingly more versatile and effective methods in the future.
Źródło:
Control and Cybernetics; 2000, 29, 3; 653-684
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The grouping differential evolution algorithm for multi-dimensional optimization problems
Autorzy:
Piotrowski, A. P.
Napiórkowski, J. J.
Powiązania:
https://bibliotekanauki.pl/articles/969839.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
differential evolution
multidimensional problems
multimodal problems
metaheuristics
Opis:
A variant of the Differential Evolution method is presented. The classical Differential Evolution approach is very successful for simple problems, but does not perform well enough for troublesome multi-dimensional non-convex continuous functions. To overcome some of the drawbacks, the Grouped Multi-Strategy Differential Evolution algorithm is proposed here. The main idea behind the new approach is to exploit the knowledge about the local minima already found in different parts of the search space in order to facilitate further search for the global one. In the proposed method, the population is split into four groups: three of them rarely communicate with the others, but one is allowed to gain all available knowledge from the whole population throughout the search process. The individuals simultaneously use three different crossover/mutation strategies, which makes the algorithm more flexible. The proposed approach was compared with two Differential Evolution based algorithms on a set of 10- to 100-dimensional test functions of varying difficulty. The proposed method achieved very encouraging results; its advantage was especially significant when more difficult 50- and 100-dimensional problems were considered. When dividing population into separate groups, the total number of individuals becomes a crucial restriction. Hence, the impact of the number of individuals on the performance of the algorithms was studied. It was shown that increasing the number of individuals above the number initially proposed for classic Differential Evolution method is in most cases not advantageous and sometimes may even result in deterioration of results.
Źródło:
Control and Cybernetics; 2010, 39, 2; 527-550
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An adaptive hybrid metaheuristic for permutation flowshop scheduling
Autorzy:
Moccellin, J.
Santos, M.
Powiązania:
https://bibliotekanauki.pl/articles/206870.pdf
Data publikacji:
2000
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
flowshop sequencing
hybrid metaheuristics
simulated annealing
tabu search
Opis:
In this paper we present a hybrid Tabu Search - Simulated Annealing heuristic fox the minimal makespan flowshop sequencing problem. In order to evaluate the effectiveness of the hybridization we compare the hybrid metaheuristic with pure Tabu Search and Simulated Annealing heuristics. The results from computational experience are discussed.
Źródło:
Control and Cybernetics; 2000, 29, 3; 761-771
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Short Introduction to Stochastic Optimization
Autorzy:
Ombach, Jerzy
Powiązania:
https://bibliotekanauki.pl/articles/1373633.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
Tematy:
global optimization
stochastic algorithm
random search
convergence of metaheuristics
Opis:
We present some typical algorithms used for finding global minimum/ maximum of a function defined on a compact finite dimensional set, discuss commonly observed procedures for assessing and comparing the algorithms’ performance and quote theoretical results on convergence of a broad class of stochastic algorithms.
Źródło:
Schedae Informaticae; 2014, 23; 9-20
0860-0295
2083-8476
Pojawia się w:
Schedae Informaticae
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Tabu search for multiobjective combinatorial optimization : TAMOCO
Autorzy:
Hansen, M.
Powiązania:
https://bibliotekanauki.pl/articles/205565.pdf
Data publikacji:
2000
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
polioptymalizacja kombinatoryczna
metaheuristics
multiobjective combinatorial optimization (MOCO)
tabu search
Opis:
This paper presents the multiobjective tabu search method, TAMOCO. Being an adaptation of the well-known tabu search, it can be used to generate approximations to the non-dominated solutions of multiobjective combinatorial optimization problems. TAMOCO works with a set of current solutions which, through manipulation of weights, are optimized towards the non-dominated frontier while at the same time seek to disperse over the frontier. The general procedure and some extensions to it are presented, as well as suggestions of usage in interactive procedures. A computational experiment is also presented.
Źródło:
Control and Cybernetics; 2000, 29, 3; 799-818
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Energy redistribution in autonomous hybridization of agent-based computing
Autorzy:
Godzik, Mateusz
Powiązania:
https://bibliotekanauki.pl/articles/2097959.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
agent-based computing
hybrid metaheuristics
nature-inspired algorithms
Opis:
Evolutionary multi-agent systems (EMAS) are very good at dealing with diffi cult, multi-dimensional problems. Research is currently underway to improve this algorithm, giving agents even more freedom not only to solve the problem, but also to make decisions about the behavior of the algorithm. One way is to hybridize this algorithm with other existing algorithms to create the Hybrid Evolutionary Multi Agent-System (HEMAS). Unfortunately, such connections generate problems in the form of unbalanced agent energy levels. One solution is to use an agent energy redistribution operator. The article presents three different proposals for such redistribution operators, compared them with each other and selected the best based on the results of numerous experiments.
Źródło:
Computer Science; 2021, 22 (3); 345-365
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of Job Shop Scheduling Problem by Genetic Algorithms: Case Study
Autorzy:
Sahar, Habbadi
Herrou, Brahim
Sekkat, Souhail
Powiązania:
https://bibliotekanauki.pl/articles/24200523.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
optimization
metaheuristics
scheduling
job shop scheduling problem
genetic algorithms
simulation
Opis:
The Job Shop scheduling problem is widely used in industry and has been the subject of study by several researchers with the aim of optimizing work sequences. This case study provides an overview of genetic algorithms, which have great potential for solving this type of combinatorial problem. The method will be applied manually during this study to understand the procedure and process of executing programs based on genetic algorithms. This problem requires strong decision analysis throughout the process due to the numerous choices and allocations of jobs to machines at specific times, in a specific order, and over a given duration. This operation is carried out at the operational level, and research must find an intelligent method to identify the best and most optimal combination. This article presents genetic algorithms in detail to explain their usage and to understand the compilation method of an intelligent program based on genetic algorithms. By the end of the article, the genetic algorithm method will have proven its performance in the search for the optimal solution to achieve the most optimal job sequence scenario.
Źródło:
Management and Production Engineering Review; 2023, 14, 3; 44--56
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
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