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  • Swarm and Evolutionary Computation | Journal - ScienceDirect
    Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms
  • Swarm and Evolutionary Computation | Vol 97, August 2025 . . .
    Read the latest articles of Swarm and Evolutionary Computation at ScienceDirect com, Elsevier’s leading platform of peer-reviewed scholarly literature
  • Swarm and Evolutionary Computation - ScienceDirect
    It aims specifically at the most recent developments of swarm intelligence, evolutionary algorithms, meta-heuristics, ensemble with machine learning algorithms, and applications for various complex scheduling and optimization problems in engineering and service fields
  • Swarm and Evolutionary Computation
    Standard Evolutionary Multi-objective Optimizers (EMOs) face several problems when applied to many-objective problems including large non-dominated fraction of the population, computationally expensive evaluation of diversity measures, inefficient recombination operators, difficulty in representation of the trade-off surface and so on
  • Swarm Intelligence and cyber-physical systems: Concepts, challenges and . . .
    Swarm Intelligence (SI) is a popular multi-agent framework that has been originally inspired by swarm behaviors observed in natural systems, such as ant and bee colonies In a system designed after swarm intelligence, each agent acts autonomously, reacts on dynamic inputs, and, implicitly or explicitly, works collaboratively with other swarm members without a central control The system as a
  • Multiobjective evolutionary algorithms: A survey of the state of the . . .
    By evolving a population of solutions, multiobjective evolutionary algorithms (MOEAs) are able to approximate the Pareto optimal set in a single run MOEAs have attracted a lot of research effort during the last 20 years, and they are still one of the hottest research areas in the field of evolutionary computation
  • A practical tutorial on the use of nonparametric statistical tests as a . . .
    The test problems of the CEC’2005 special session on real parameter optimization will help to illustrate the use of the tests throughout this tutorial, analyzing the results of a set of well-known evolutionary and swarm intelligence algorithms
  • Evolutionary computation for feature selection in classification: A . . .
    Feature selection (FS), as one of the most significant preprocessing techniques in the fields of machine learning and pattern recognition, has received great attention In recent years, evolutionary computation has become a popular technique for handling FS problems due to its superior global search performance In this paper, a comprehensive review of evolutionary computation research on the





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