Results 21 to 30 of about 5,017 (229)
Hybrid Metaheuristics for Multi-Objective Optimization
Over the last two decades, interest on hybrid metaheuristics has risen considerably in the field of multi-objective optimization (MOP). The best results found for many real-life or academic multi-objective optimization problems are obtained by hybrid ...
E-G. Talbi
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Multimethodology in Metaheuristics [PDF]
As a combination of different methodologies or parts of methodologies, Multimethodology is becoming more frequent in OR practice. This paper contributes with a new proposal and a new field of application: the employment of Multimethodology in problem solving with Metaheuristics (Mh).
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Parallel machines scheduling problems with continuous availability of machines are NP-hardness (non-deterministic polynomial-time hardness) and have become very popular for the last decade; there is still very limited literature on this problem.
Husam Kaid +5 more
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Continuous Metaheuristics for Binary Optimization Problems: An Updated Systematic Literature Review
For years, extensive research has been in the binarization of continuous metaheuristics for solving binary-domain combinatorial problems. This paper is a continuation of a previous review and seeks to draw a comprehensive picture of the various ways to ...
Marcelo Becerra-Rozas +7 more
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27 pages, to appear in: R. Marti, P. Pardalos, and M.
Sorensen, Kenneth +2 more
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A Metaheuristic for the Containership Feeder Routing Problem with Port Choice Process
In this paper, we focus on understanding the joint problem of container ship route generation and consolidation center selection, two important sub-problems influencing the effectiveness of the liners shipping industry, which addresses the ship-routing ...
Mohammad Vaferi +2 more
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An investigation of the effects of chaotic maps on the performance of metaheuristics
This article presents an empirical investigation of the effects of chaotic maps on the performance of metaheuristics. Particle Swarm Optimization and Simulated Annealing are modified to use chaotic maps instead of the traditional pseudorandom number ...
Iannick Gagnon, Alain April, Alain Abran
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A novel metaheuristic optimization algorithm: the monarchy metaheuristic
In this paper, we introduce a novel metaheuristic optimization algorithm named the monarchy metaheuristic (MN). Our proposed metaheuristic was inspired by the monarchy government system. Unlike many other metaheuristics, it is easy to implement and does not need a lot of parameters. This makes it applicable to a wide range of optimization problems.
Ibtissam Ahmia, Méziane Aïder
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Automatic Design of Metaheuristics for Practical Engineering Applications
It is common to find multiple metaheuristics to solve continuous optimization problems. However, choosing what optimizer may obtain the best results for a given task requires exhaustive evaluations that are highly application-dependent.
Daniel F. Zambrano-Gutierrez +5 more
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This paper brings to light optimized proposal for a circular particle accelerator for proton beam therapy purposes (named as ACPT). The methodology applied is based on computational metaheuristics based on genetic algorithms (GA) were used to obtain ...
Gustavo Lobato Campos +1 more
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