Application of a novel metaheuristic algorithm inspired by connected banking system in truss size and layout optimum design problems and optimization problems. [PDF]
Nemati M, Zandi Y, Sabouri J.
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Bobcat Optimization Algorithm: an effective bio-inspired metaheuristic algorithm for solving supply chain optimization problems. [PDF]
Benmamoun Z +4 more
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An improved method for diagnosis of Parkinson's disease using deep learning models enhanced with metaheuristic algorithm. [PDF]
Majhi B +6 more
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Optimization and inventory management under stochastic demand using metaheuristic algorithm. [PDF]
Tan ND +4 more
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Application of a novel metaheuristic algorithm inspired by stadium spectators in global optimization problems. [PDF]
Nemati M, Zandi Y, Agdas AS.
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Botox Optimization Algorithm: A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems. [PDF]
Hubálovská M +2 more
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Pufferfish Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems. [PDF]
Al-Baik O +8 more
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Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems. [PDF]
Premkumar M +7 more
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Author Correction: Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems. [PDF]
Premkumar M +7 more
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A cooperative system for metaheuristic algorithms
Expert Systems with Applications, 2021Abstract Optimization problems are defined as the functions whereby the target is to find the optimum state depending on the parameters that have certain limitations. In the field of optimization, the aim is to find from among multiple alternative solutions the optimal solution or approximate solution that provides all the restrictions. Metaheuristic
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