Results 11 to 20 of about 5,017 (229)
Structure and metaheuristics [PDF]
Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2006 Metaheuristics have often been shown to be effective for difficult combinatorial optimization problems. The reason for that, however, remains unclear. A framework for a theory of metaheuristics crucially depends on a formal representative model of such algorithms.
Yossi Borenstein, Riccardo Poli
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Mathematical and Computational Applications, 2018 This research aimed to solve the economic crop planning problem, considering transportation logistics to maximize the profit from cultivated activities.
Udompong Ketsripongsa +3 more
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Complexity, 2023 Swarm intelligence algorithms are metaheuristics inspired by the collective behavior of species such as birds, fish, bees, and ants. They are used in many optimization problems due to their simplicity, flexibility, and scalability.
Alam Zeb +4 more
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A hyper-matheuristic approach for solving mixed integer linear optimization models in the context of data envelopment analysis [PDF]
PeerJ Computer Science, 2022 Mixed Integer Linear Programs (MILPs) are usually NP-hard mathematical programming problems, which present difficulties to obtain optimal solutions in a reasonable time for large scale models.
Martin Gonzalez +3 more
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Taxonomy of Memory Usage in Swarm Intelligence-Based Metaheuristics
مجلة بغداد للعلوم, 2019 Metaheuristics under the swarm intelligence (SI) class have proven to be efficient and have become popular methods for solving different optimization problems. Based on the usage of memory, metaheuristics can be classified into algorithms with memory and
Yasear et al.
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CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search
SoftwareX, 2020 There is a colourful palette of metaheuristics for solving continuous optimisation problems in the literature. Unfortunately, it is not easy to pick a suitable one for a specific practical scenario. Moreover, oftentimes the selected metaheuristic must be
Jorge M. Cruz-Duarte +4 more
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On deciding when to stop metaheuristics: Properties, rules and termination conditions
Operations Research Perspectives, 2023 Most metaheuristics lack a termination condition based on reasonable premises and guaranteeing the quality of the solution provided by the algorithm. We propose a methodological frame that distinguishes the concepts of properties of the final incumbent ...
Albert Corominas
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Hybrid Metaheuristics to the Automatic Selection of Features and Members of Classifier Ensembles
Information, 2018 Metaheuristic algorithms have been applied to a wide range of global optimization problems. Basically, these techniques can be applied to problems in which a good solution must be found, providing imperfect or incomplete knowledge about the optimal ...
Antonino A. Feitosa Neto +2 more
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Embedded Learning Approaches in the Whale Optimizer to Solve Coverage Combinatorial Problems
Mathematics, 2022 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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Towards a Generalised Metaheuristic Model for Continuous Optimisation Problems
Mathematics, 2020 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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