A comprehensive survey: artificial bee colony (ABC) algorithm and applications
Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …
self-organized swarms. The well known examples for these swarms are bird flocks, fish …
A survey on the artificial bee colony algorithm variants for binary, integer and mixed integer programming problems
Most of the optimization problems encountered in the real world are discrete type which
involves decision variables defined in the discrete search space. Binary optimization …
involves decision variables defined in the discrete search space. Binary optimization …
On clarifying misconceptions when comparing variants of the artificial bee colony algorithm by offering a new implementation
Abstract Artificial Bee Colony (ABC) is a Swarm Intelligence algorithm that has obtained
meta-heuristic researchers' attention and favor over recent years. It comprises good balance …
meta-heuristic researchers' attention and favor over recent years. It comprises good balance …
Multi-strategy ensemble artificial bee colony algorithm
Artificial bee colony (ABC) is a recently proposed optimization technique which has shown
to be competitive to other population-based stochastic algorithms. However, ABC is good at …
to be competitive to other population-based stochastic algorithms. However, ABC is good at …
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
F Kang, J Li, Z Ma - Information Sciences, 2011 - Elsevier
A Rosenbrock artificial bee colony algorithm (RABC) that combines Rosenbrock's rotational
direction method with an artificial bee colony algorithm (ABC) is proposed for accurate …
direction method with an artificial bee colony algorithm (ABC) is proposed for accurate …
An artificial bee colony algorithm with a modified choice function for the traveling salesman problem
Abstract The Artificial Bee Colony (ABC) algorithm is a swarm intelligence approach which
has initially been proposed to solve optimisation of mathematical test functions with a unique …
has initially been proposed to solve optimisation of mathematical test functions with a unique …
Particle swarm optimization for non-uniform rational B-spline surface reconstruction from clouds of 3D data points
A Gálvez, A Iglesias - Information Sciences, 2012 - Elsevier
This work investigates the use of particle swarm optimization (PSO) to recover the shape of a
surface from clouds of (either organized or scattered) noisy 3D data points, a challenging …
surface from clouds of (either organized or scattered) noisy 3D data points, a challenging …
Two metaheuristic approaches for the multiple traveling salesperson problem
P Venkatesh, A Singh - Applied Soft Computing, 2015 - Elsevier
The multiple traveling salesperson problem (MTSP) is similar to famous traveling
salesperson problem (TSP) except for the fact that there are more than one salesperson to …
salesperson problem (TSP) except for the fact that there are more than one salesperson to …
Trade-off between exploration and exploitation with genetic algorithm using a novel selection operator
A Hussain, YS Muhammad - Complex & intelligent systems, 2020 - Springer
As an intelligent search optimization technique, genetic algorithm (GA) is an important
approach for non-deterministic polynomial (NP-hard) and complex nature optimization …
approach for non-deterministic polynomial (NP-hard) and complex nature optimization …
The continuous artificial bee colony algorithm for binary optimization
MS Kiran - Applied Soft Computing, 2015 - Elsevier
Artificial bee colony (ABC) algorithm, one of the swarm intelligence algorithms, has been
proposed for continuous optimization, inspired intelligent behaviors of real honey bee …
proposed for continuous optimization, inspired intelligent behaviors of real honey bee …