Results 51 to 60 of about 788,042 (240)
IEEE AccessThis study investigates the application of a Genetic Algorithm (GA) for optimizing scheduling in automated cube storage warehouses, focusing on enhancing logistics processing speed.
Won Yong Ha
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A coarse-grained parallelization of genetic algorithms
IJAIN (International Journal of Advances in Intelligent Informatics), 2018 Genetic algorithms are frequently used to solve optimization problems. However, the problems become increasingly complex and time consuming. One solution to speed up the genetic algorithm processing is to use parallelization. The proposed parallelization
Muhamad Radzi Rathomi, Reza Pulungan
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A Genetic Algorithm for the Maximum 2–Packing Set Problem
International Journal of Applied Mathematics and Computer Science, 2020 Given an undirected connected graph G = (V, E), a subset of vertices S is a maximum 2-packing set if the number of edges in the shortest path between any pair of vertices in S is at least 3 and S has the maximum cardinality.
Trejo-Sánchez Joel Antonio +2 more
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Genetic algorithms in seasonal demand forecasting [PDF]
, 2000 The method of forecasting seasonal demand applying genetic algorithm is presented. Specific form of used demand function is shown in the first section of the article.
Chodak, Grzegorz, Kwaśnicki, Witold
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A service oriented architecture for engineering design [PDF]
, 2004 Decision making in engineering design can be effectively addressed by using genetic algorithms to solve multi-objective problems. These multi-objective genetic algorithms (MOGAs) are well suited to implementation in a Service Oriented Architecture ...
Fleming, P.J., Shenfield, A.
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Co-evolutionary Genetic Algorithms for Reactive Scheduling
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2010 Previous researches provided a reactive scheduling method using a genetic algorithm to improve disturbed production schedules, due to unexpected disruptions, such as delays of manufacturing operations.
Yoshitaka TANIMIZU +4 more
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On the design of diploid genetic algorithms for problem optimization in dynamic environments [PDF]
Tihis article is posted here with permission from the IEEE - Copyright @ 2006 IEEEUsing diploidy and dominance is one method to enhance the performance of genetic algorithms in dynamic environments.
Yang, S
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GENETIC ALGORITHMS OF WORK DISTRIBUTION
Вестник Донского государственного технического университета, 2018 The tasks of heterogeneous work distribution among heterogeneous executors taking into account operation and switching process costs are investigated. Genetic algorithms of work distribution that can be used for solving various practical tasks both in ...
Andrey R. Aidinyan, Olga L. Tsvetkova
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Procedia Computer Science, 2013 AbstractThe purpose of this paper is to describe and evaluate a new algorithm for optimization. The new algorithm is named the Genetic Flock Algorithm. This algorithm is a type of hybrid of a Genetic Algorithm and a Particle Swarm Optimization Algorithm. The paper discusses strengths and weaknesses of these two algorithms.
Jeffrey Brooks, David L. Hibler
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