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Global-best Brain Storm Optimization Algorithm
Published 2018“…Brain storm optimization (BSO) is a population-based metaheuristic algorithm that was recently developed to mimic the brainstorming process in humans. …”
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Island flower pollination algorithm for global optimization
Published 2019“…Comparing the results of IsFPA with those of state-of-the-art methods which are FPA, genetic algorithm (GA), particle swarm optimization (PSO), gravitational search algorithm (GSA), multi-verse optimizer (MVO), island bat algorithm (iBA), and island harmony search (iHS), the comparison results show that the IsFPA is able to control the diversity and improves the outcomes where IsFPA is ranked first followed by FPA, iBA, iHS, GSA, MVO, GA, PSO, respectively, based on the Friedman test with Holm and Hochberg as post hoc statistical test.…”
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Teaching–learning-based optimization algorithm: analysis study and its application
Published 2024Subjects: “…Teaching–learning-based optimization algorithm…”
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Particle swarm optimization algorithm: review and applications
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A Hybrid Flower Pollination with p-Hill Climbing Algorithm for Global Optimization
Published 2021“…In this paper, the -hill climbing optimizer is hybridized with the flower pollination algorithm (FPA) as a local refinement operator for global optimization problems. …”
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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
Published 2023Subjects: “…Prairie dog optimization algorithm…”
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An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
Published 2021Subjects: “…JAYA Algorithm…”
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Application of Red Deer Algorithm in Optimizing Complex functions
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Segmentation of thermographies from electronic systems by using the global-best brain storm optimization algorithm
Published 2023“…This paper proposes a combination of the minimum cross-entropy method and the Global-best brain storm optimization algorithm (GBSO), which improves the standard BSO to find the optimal solutions in complex search spaces. …”
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Natural optimization algorithms for optimal regression testing
Published 1997“…The present two natural optimization algorithms, namely simulated annealing and genetic algorithms, for solving this problem. …”
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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
Published 2024“…Several metaheuristics, such as the Genghis Khan Shark Optimizer Algorithm (GKSO), can assist in optimizing the FS issue. …”
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Spark-based cooperative coevolution for large scale global optimization
Published 2023“…The cooperative coevolution framework was introduced to address the shortcomings of metaheuristic algorithms in solving continuous large-scale global optimization problems. …”
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Spark-based cooperative coevolution for large scale global optimization
Published 2024“…The cooperative coevolution framework was introduced to address the shortcomings of metaheuristic algorithms in solving continuous large-scale global optimization problems. …”
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GPU-based cooperative coevolution for large-scale global optimization
Published 2023“…The goal of researchers is to optimize the performance of algorithms in terms of both quality of solution and computational speed, seeing that large-scale optimization can be a computationally expensive process. …”
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A Cooperative Co-evolutionary LSHADE Algorithm for Large-Scale Global Optimization
Published 2017“…In this paper, we propose the application of a Cooperative Co-evolutionary LSHADE (CCLSHADE) algorithm for Large-Scale Global Optimization (LSGO). …”
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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
Published 2011Subjects: “…Ant algorithms…”
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