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Lbest Gbest Artificial Bee Colony algorithm
2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016Artificial Bee Colony (ABC) algorithm is the most popular add-on to class of swarm intelligence based meta-heuristic which is evolved to resolve the complex real world optimization problems. Most of the swarm intelligence based algorithms face the problem of stagnation, and premature convergence and ABC is not an exception.
Harish Sharma +2 more
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Opposition-based artificial bee colony algorithm
Proceedings of the 13th annual conference on Genetic and evolutionary computation, 2011The Artificial Bee Colony (ABC) algorithm is a relatively new algorithm for function optimization. The algorithm is inspired by the foraging behavior of honey bees. In this work, the performance of ABC is enhanced by introducing the concept of opposition-based learning.
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An Astute Artificial Bee Colony Algorithm
2017Artificial bee colony (ABC) algorithm is one of the most popular optimization methods for global optimization over real-valued parameters. Though it has been shown very competitive to other natureinspired methods, it suffers from some challenging problems, e.g., slow convergence speed while solving unimodal problems, local optima stagnation (premature ...
Avadh Kishor +2 more
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Adaptive Artificial Bee Colony Algorithm Considering Colony’s Memory
2023Jiacheng Li, Masato Noto, Yang Zhang
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An improved artificial bee colony algorithm
The 2nd World Conference on Humanities and Social Sciences (WCHSS 2017), 2018openaire +1 more source