Artificial Bee Colony algorithm is one of the naturally inspired meta heuristic method. As usual, in a meta heuristic method, intuitively appealing way to have better results is extending calculation time or increasing the fitness evaluation count. But the desired way is acquiring better results with less computation. So in this work a modified Artificial Bee Colony algorithm which can find better results with same computation is developed by benefiting statistical observations
Copyright © 2014 T. Chen and R. Xiao.This is an open access article distributed under the Creative C...
Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and self-org...
Optimization algorithms are search methods where the goal is to find an optimal solution to a proble...
This paper introduces a variant of Artificial Bee Colony algorithm and compares its results with a n...
Swarm intelligence is a research branch that models the population of interacting agents or swarms t...
Swarm intelligence is a research field that models the collective intelligence in swarms of insects ...
Metaheuristics and swarm intelligence algorithms are bio-inspired algorithms, which have long standi...
Artificial Bee Colony (ABC) is a powerful metaheuristic algorithm inspired by the behavior of a hone...
Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based algorithms....
Artificial bee colony algorithm (ABC) is a recently introduced swarm based meta heuristic algorithm....
The Artificial Bee Colony (ABC) algorithm is a stochastic, population-based evolutionary method prop...
Evolutionary algorithm is a stochastic search method that mimics the natural biological evolution an...
Abstract— In this paper we have tried to develop an altered version of the artificial bee colony alg...
Artificial Bee Colony (ABC) algorithm is a meta-heuristic algorithm, is inspired by the bee’s food s...
Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm intelligence algo...
Copyright © 2014 T. Chen and R. Xiao.This is an open access article distributed under the Creative C...
Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and self-org...
Optimization algorithms are search methods where the goal is to find an optimal solution to a proble...
This paper introduces a variant of Artificial Bee Colony algorithm and compares its results with a n...
Swarm intelligence is a research branch that models the population of interacting agents or swarms t...
Swarm intelligence is a research field that models the collective intelligence in swarms of insects ...
Metaheuristics and swarm intelligence algorithms are bio-inspired algorithms, which have long standi...
Artificial Bee Colony (ABC) is a powerful metaheuristic algorithm inspired by the behavior of a hone...
Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based algorithms....
Artificial bee colony algorithm (ABC) is a recently introduced swarm based meta heuristic algorithm....
The Artificial Bee Colony (ABC) algorithm is a stochastic, population-based evolutionary method prop...
Evolutionary algorithm is a stochastic search method that mimics the natural biological evolution an...
Abstract— In this paper we have tried to develop an altered version of the artificial bee colony alg...
Artificial Bee Colony (ABC) algorithm is a meta-heuristic algorithm, is inspired by the bee’s food s...
Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm intelligence algo...
Copyright © 2014 T. Chen and R. Xiao.This is an open access article distributed under the Creative C...
Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and self-org...
Optimization algorithms are search methods where the goal is to find an optimal solution to a proble...