Nature inspired meta heuristic algorithms for optimization problems

DOI10.1007/s00607-021-00955-5zbMath1490.68103OpenAlexW3164252737MaRDI QIDQ2118406

Chandra S. S. Vinod, H. S. Anand

Publication date: 22 March 2022

Published in: Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00607-021-00955-5

zbMATH Keywords

metaheuristicshybrid metaheuristicsbio-inspired computinghyper-heuristicsevolutionary computingnature-inspired computing

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Approximation methods and heuristics in mathematical programming (90C59) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Biologically inspired models of computation (DNA computing, membrane computing, etc.) (68Q07)

Uses Software

• BGSA

Cites Work

• Unnamed Item
• Optimization by Simulated Annealing
• BGSA: Binary gravitational search algorithm
• Variable neighbourhood search: methods and applications
• Hydrological cycle algorithm for continuous optimization problems
• Bacterial colony optimization
• Intelligent water drops algorithm
• A New Metaheuristic Bat-Inspired Algorithm
• Using River Formation Dynamics to Design Heuristic Algorithms
• Firefly Algorithms for Multimodal Optimization
• Flower Pollination Algorithm for Global Optimization

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