Results 201 to 210 of about 5,049 (236)
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Machine Learning into Metaheuristics

ACM Computing Surveys, 2022
El-Ghazali Talbi
exaly  

Extending CLP with Metaheuristics

2003
Modern Constraint Logic Programming (CLP) systems have a number of approved features like their declarative programming language, the incorporation of sophisticated search space pruning and propagation algorithms as well as deterministic complete search algorithms.
openaire   +1 more source

Complex metaheuristics

Journal of Computational Science, 2016
Carlos Cotta, Robert Schaefer
openaire   +1 more source

Metaheuristics

This volume constitutes the refereed proceedings of Metaheuristics on 15th International Conference, MIC 2024, held in Lorient, France, during June 4–7, 2024.The 36 full papers presented together with 34 short papers were carefully reviewed and selected from 127 submissions. The conference focuses on artificial intelligence, combinatorial optimization,
Sevaux, Marc   +4 more
openaire   +1 more source

A Unified-Metaheuristic Framework

1999
In recent years, there have been significant advances in the theory and application of metaheuristics to approximate solutions of complex optimization Problems. A metaheuristic is an iterative master process that guides and modifies the operations of subordinate heuristics to efficiently produce high quality solutions, [6] [8].
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A survey of recently developed metaheuristics and their comparative analysis

Engineering Applications of Artificial Intelligence, 2023
Abdulaziz Alorf
exaly  

Batch metaheuristic: a migration-free framework for metaheuristic algorithms

Evolutionary Intelligence, 2023
Deepika Kaushik   +2 more
openaire   +1 more source

Adaptive and Multilevel Metaheuristics

2008
Reviews of the Field.- Hyperheuristics: Recent Developments.- Self-Adaptation in Evolutionary Algorithms for Combinatorial Optimisation.- New Techniques and Applications.- An Efficient Hyperheuristic for Strip-Packing Problems.- Probability-Driven Simulated Annealing for Optimizing Digital FIR Filters.- RASH: A Self-adaptive Random Search Method ...
openaire   +2 more sources

Q-Learnheuristics: Towards Data-Driven Balanced Metaheuristics

Mathematics, 2021
JOSÉ Lemus-Romani   +2 more
exaly  

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