Magnetic charged system search: a new meta-heuristic algorithm for optimization

DOI10.1007/s00707-012-0745-6zbMath1318.78011OpenAlexW1963634469WikidataQ124967186 ScholiaQ124967186MaRDI QIDQ359468

Mohammad Hasan, M. Dambrine

Publication date: 12 August 2013

Published in: Acta Mechanica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00707-012-0745-6

zbMATH Keywords

charged particlecharged system search (CSS) algorithm

Mathematics Subject Classification ID

Search theory (90B40) Optimization problems in optics and electromagnetic theory (78M50)

Related Items (4)

Tribe-charged system search for global optimization ⋮ Clustered-gravitational search algorithm and its application in parameter optimization of a low noise amplifier ⋮ On the application of peridynamics to crack detection in membranes using an upgraded metaheuristic ⋮ Neuro-fuzzy active control optimized by tug of war optimization method for seismically excited benchmark highway bridge

Uses Software

• CEC 05
• GSA

Cites Work

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• Optimization by Simulated Annealing
• A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 special session on real parameter optimization
• A novel heuristic optimization method: charged system search
• Modifications of real code genetic algorithm for global optimization
• GSA: A gravitational search algorithm
• Performance-based multi-objective optimization of large steel structures
• An empirical study about the usefulness of evolution strategies to solve constrained optimization problems
• An improved ant colony optimization for constrained engineering design problems

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