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

by   Sandeep Kumar, et al.

Artificial bee colony (ABC) algorithm has proved its importance in solving a number of problems including engineering optimization problems. ABC algorithm is one of the most popular and youngest member of the family of population based nature inspired meta-heuristic swarm intelligence method. ABC has been proved its superiority over some other Nature Inspired Algorithms (NIA) when applied for both benchmark functions and real world problems. The performance of search process of ABC depends on a random value which tries to balance exploration and exploitation phase. In order to increase the performance it is required to balance the exploration of search space and exploitation of optimal solution of the ABC. This paper outlines a new hybrid of ABC algorithm with Genetic Algorithm. The proposed method integrates crossover operation from Genetic Algorithm (GA) with original ABC algorithm. The proposed method is named as Crossover based ABC (CbABC). The CbABC strengthens the exploitation phase of ABC as crossover enhances exploration of search space. The CbABC tested over four standard benchmark functions and a popular continuous optimization problem.



There are no comments yet.


page 1

page 2

page 3

page 4


Randomized Memetic Artificial Bee Colony Algorithm

Artificial Bee Colony (ABC) optimization algorithm is one of the recent ...

Improved Binary Artificial Bee Colony Algorithm

The Artificial Bee Colony (ABC) algorithm is an evolutionary optimizatio...

Memetic Artificial Bee Colony Algorithm for Large-Scale Global Optimization

Memetic computation (MC) has emerged recently as a new paradigm of effic...

An Improved BAT Algorithm for Solving Job Scheduling Problems in Hotels and Restaurants

One popular example of metaheuristic algorithms from the swarm intellige...

Across neighbourhood search for numerical optimization

Population-based search algorithms (PBSAs), including swarm intelligence...

Novel Adaptive Genetic Algorithm Sample Consensus

Random sample consensus (RANSAC) is a successful algorithm in model fitt...

Boosting Quantum Rotation Gate Embedded Slime Mould Algorithm

The slime mould algorithm is an interesting swarm-based algorithm propos...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.