main webpage W Topic Evolutionary Algorithm Biomimetics • Vol 11 • No 1 Binary Pufferfish Optimization Algorithm for Combinatorial Problems 2025 Metaheuristics are a fundament pillar of Industry 4.0, as they allow for complex optimization problems to be solved by finding good solutions in a reasonable amount of computational time. One category of important problems in modern industry is that of binary… Article Open Evolutionary Algorithm Open Article Page

Evolutionary Algorithm

Subset of evolutionary computation Evolutionary algorithms ( EA ) reproduce essential elements of biological evolution in a computer algorithm in order to solve "difficult" problems, at least approximately, for which no exact or satisfactory solution methods are known. They are metaheuristics and population-based bio-inspired algorithms and evolutionary computation, which itself are part of the field of computational intelligence. The mechanisms of biological evolution that an EA mainly imitates are reproduction, mutation, recombination and selection. Candidate solutions to the optimization problem play the role of individuals in a population, and the fitness function determines the quality of the solutions (see also loss function). Critical Symbolic Virtual Narrative Open Evolutionary Algorithm Open Article Page

Exploring foci of: Biomimetics • Vol 11 • No 1 Binary Pufferfish Optimization Algorithm for Combinatorial Problems 2025 Metaheuristics are a fundament pillar of Industry 4.0, as they allow for complex optimization problems to be solved by finding good solutions in a reasonable amount of computational time. One category of important problems in modern industry is that of binary problems, where decision variables can take values of zero or one. In this work, we propose a binary version of the Pufferfish optimization algorithm (BPOA), which was originally created to solve continuous problems. The binary mapping follows a two-step tech… Open Article Page

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Explore Evolutionary Algorithm W Topic Evolutionary Algorithm Biomimetics • Vol 11 • No 1 Binary Pufferfish Optimization Algorithm for Combinatorial Problems 2025 Metaheuristics are a fundament pillar of Industry 4.0, as they allow for complex optimization problems to be solved by finding good solutions in a reasonable amount of computational time. One category of important problems in modern industry is that of binary… Article Critical Symbolic Virtual Narrative Open Evolutionary Algorithm Open Article Page