Results 121 to 130 of about 5,089 (182)

Dynamic population artificial bee colony algorithm for multi-objective optimal power flow. [PDF]

Saudi J Biol Sci, 2017
Ding M, Chen H, Lin N, Jing S, Liu F, Liang X, Liu W.   +6 more
europepmc   +1 more source

Co-ABC: Correlation artificial bee colony algorithm for biomarker gene discovery using gene expression profile. [PDF]

Saudi J Biol Sci, 2018
Alshamlan HM.
europepmc   +1 more source

Solving Gravity Anomaly Matching Problem Under Large Initial Errors in Gravity Aided Navigation by Using an Affine Transformation Based Artificial Bee Colony Algorithm. [PDF]

Front Neurorobot, 2019
Dai T, Miao L, Shao H, Shi Y.
europepmc   +1 more source

A hybrid feature selection framework combining Artificial Bee Colony and decision trees for CVD risk assessment. [PDF]

Sci Rep
Pavithra V, Raja JE, Patil S.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

A comparative study of Artificial Bee Colony algorithm

Applied Mathematics and Computation, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dervis Karaboga, Bahriye Akay
exaly   +3 more sources

A directed artificial bee colony algorithm

Applied Soft Computing Journal, 2015
A new method based on artificial bee colony (ABC) algorithm is proposed in this study.The improvement is based on direction information produced for artificial bees.Performance of the proposed method has been examined on numeric functions.The experimental results show that proposed approach is more effective than some classical variants of ABC ...
Mustafa Servet Kiran
exaly   +3 more sources

A modified artificial bee colony algorithm

Computers and Operations Research, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei-Feng Gao, San-Yang Liu
exaly   +3 more sources

On the performance of artificial bee colony (ABC) algorithm

Applied Soft Computing Journal, 2008
Artificial bee colony (ABC) algorithm is an optimization algorithm based on a particular intelligent behaviour of honeybee swarms. This work compares the performance of ABC algorithm with that of differential evolution (DE), particle swarm optimization (PSO) and evolutionary algorithm (EA) for multi-dimensional numeric problems.
Dervis Karaboga
exaly   +3 more sources