专题：Evolutionary Algorithms and Applications

This cluster of papers focuses on the application of genetic programming in machine learning, particularly in the areas of classification, feature selection, symbolic regression, and evolvable hardware. It explores the use of evolutionary algorithms and learning classifier systems to solve complex problems, with an emphasis on multiobjective optimization and semantic genetic programming.
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MEGA12: Molecular Evolutionary Genetic Analysis Version 12 for Adaptive and Green Computing

article Full Text OpenAlex 1592 FWCI476.8517

Dung beetle optimizer: a new meta-heuristic algorithm for global optimization

article Full Text OpenAlex 1519 FWCI181.2304

Snake Optimizer: A novel meta-heuristic optimization algorithm

article Full Text OpenAlex 1049 FWCI131.9699

Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems

article Full Text OpenAlex 946 FWCI113.0955

Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications

article Full Text OpenAlex 846 FWCI106.0184

Golden jackal optimization: A novel nature-inspired optimizer for engineering applications

article Full Text OpenAlex 843 FWCI105.6021

Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems

article Full Text OpenAlex 731 FWCI91.1668

White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems

article Full Text OpenAlex 711 FWCI90.6152

Genetic algorithms: theory, genetic operators, solutions, and applications

article Full Text OpenAlex 633 FWCI102.5224

An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges

article Full Text OpenAlex 605 FWCI97.6741