Improved Binary Artificial Bee Colony Algorithm

03/12/2020
by   Rafet Durgut, et al.
0

The Artificial Bee Colony (ABC) algorithm is an evolutionary optimization algorithm based on swarm intelligence and inspired by the honey bees' food search behavior. Since the ABC algorithm has been developed to achieve optimal solutions by searching in the continuous search space, modification is required to apply this method to binary optimization problems. In this paper, we improve the ABC algorithm to solve binary optimization problems and call it the improved binary Artificial Bee Colony (ibinABC). The proposed method consists of an update mechanism based on fitness values and processing different number of decision variables. Thus, we aim to prevent the ABC algorithm from getting stuck in a local minimum by increasing its exploration ability. We compare the ibinABC algorithm with three variants of the ABC and other meta-heuristic algorithms in the literature. For comparison, we use the wellknown OR-Library dataset containing 15 problem instances prepared for the uncapacitated facility location problem. Computational results show that the proposed method is superior to other methods in terms of convergence speed and robustness. The source code of the algorithm will be available on GitHub after reviewing process

READ FULL TEXT
research
07/21/2014

A Novel Hybrid Crossover based Artificial Bee Colony Algorithm for Optimization Problem

Artificial bee colony (ABC) algorithm has proved its importance in solvi...
research
02/25/2016

Firefly Algorithm for optimization problems with non-continuous variables: A Review and Analysis

Firefly algorithm is a swarm based metaheuristic algorithm inspired by t...
research
10/26/2022

Unknown area exploration for robots with energy constraints using a modified Butterfly Optimization Algorithm

Butterfly Optimization Algorithm (BOA) is a recent metaheuristic that ha...
research
10/20/2021

Chaos inspired Particle Swarm Optimization with Levy Flight for Genome Sequence Assembly

With the advent of Genome Sequencing, the field of Personalized Medicine...
research
11/11/2020

A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications

The Artificial Fish Swarm Algorithm (AFSA) is inspired by the ecological...
research
06/30/2014

An optimization algorithm for multimodal functions inspired by collective animal behavior

Interest in multimodal function optimization is expanding rapidly since ...
research
02/10/2020

Dynamic Impact for Ant Colony Optimization algorithm

This paper proposes an extension method for Ant Colony Optimization (ACO...

Please sign up or login with your details

Forgot password? Click here to reset