Hydrological cycle algorithm for continuous optimization problems

DOI10.1155/2017/3828420OpenAlexW2773454834WikidataQ63468027 ScholiaQ63468027MaRDI QIDQ1659261

Ahmad Wedyan, Jacqueline Whalley, Ajit Narayanan

Publication date: 15 August 2018

Published in: Journal of Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/3828420

zbMATH Keywords

continuous movement of water in nature, topological representation, global solutions

Mathematics Subject Classification ID

Nonlinear programming (90C30)

Related Items (1)

Nature inspired meta heuristic algorithms for optimization problems

Uses Software

• WCA
• Virtual library

Cites Work

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• Ant colony optimization for continuous domains
• A literature survey of benchmark functions for global optimisation problems
• A study of global optimization using particle swarms
• Design of modern heuristics. Principles and application.
• On initial populations of a genetic algorithm for continuous optimization problems
• Particle swarm and ant colony algorithms hybridized for improved continuous optimization
• A continuous genetic algorithm designed for the global optimization of multimodal functions

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