Results 21 to 30 of about 5,291 (162)
Towards a Generalised Metaheuristic Model for Continuous Optimisation Problems
Metaheuristics have become a widely used approach for solving a variety of practical problems. The literature is full of diverse metaheuristics based on outstanding ideas and with proven excellent capabilities.
Jorge M. Cruz-Duarte +5 more
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Embedded Learning Approaches in the Whale Optimizer to Solve Coverage Combinatorial Problems
When we face real problems using computational resources, we understand that it is common to find combinatorial problems in binary domains. Moreover, we have to take into account a large number of possible candidate solutions, since these can be numerous
Marcelo Becerra-Rozas +6 more
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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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A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends [PDF]
Metaheuristics has attained increasing interest for solving complex real-world problems. This paper studies the principles and the state-of-the-art of metaheuristic methods for engineering optimization.
Ning Xiong +3 more
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