Honey formation optimization framework for design problems

DOI10.1016/J.AMC.2020.125815OpenAlexW3107804817MaRDI QIDQ2662655

Zeki Yetgin, Hüseyin Abaci

Publication date: 14 April 2021

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2020.125815

zbMATH Keywords

component designbee colony algorithmhoney formation optimisationhoney functionobjective function decomposition

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• hABCDE

Cites Work

• hABCDE: a hybrid evolutionary algorithm based on artificial bee colony algorithm and differential evolution
• A literature survey of benchmark functions for global optimisation problems
• A global best artificial bee colony algorithm for global optimization
• An improved artificial bee colony algorithm for directing orbits of chaotic systems
• Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
• Gbest-guided artificial bee colony algorithm for numerical function optimization
• Co-evolving bee colonies by forager migration: a multi-swarm based artificial bee colony algorithm for global search space
• Artificial bee colony algorithm with multiple search strategies
• An adaptive artificial bee colony algorithm for global optimization
• A modified artificial bee colony algorithm
• Simulated annealing based artificial bee colony algorithm for global numerical optimization
• A comparative study of artificial bee colony algorithm
• A modified artificial bee colony algorithm based on converge-onlookers approach for global optimization

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