Results 211 to 220 of about 49,742 (241)

Chaos-driven Discrete Artificial Bee Colony

2014 IEEE Congress on Evolutionary Computation (CEC), 2014
In this paper, a chaos driven Discrete Artificial Bee Algorithm is introduced. The main premise of this work is to ascertain if using chaos maps in lieu of standard pseudorandom number generators can improve the performance of the canonical algorithm.
Magdalena Metlicka, Donald Davendra
openaire   +1 more source

Modified Gbest Artificial Bee Colony Algorithm

2017
Artificial Bee Colony (ABC) algorithm is considered an efficient nature inspired algorithm to solve continues unconstraint optimization problems. It was developed by taking inspiration from food foraging behavior of honey bee. To get better speed of convergence in ABC, Zhu and Kwong anticipated an enhanced version of ABC, namely Gbest-guided ABC (GABC).
Pawan Bhambu, Sangeeta Sharma, Sandeep Kumar   +2 more
openaire   +1 more source

Artificial Bee Colony Algorithm

2023
Fran Sérgio Lobato, Valder Steffen, Antônio José da Silva Neto   +2 more
openaire   +1 more source

Artificial Bee Colony

2021
openaire   +1 more source

Ant Colony Optimization and Artificial Bee Colony

2023
openaire   +1 more source

Artificial Bee Colony (ABC) Algorithm

2020
Erik Cuevas, Alma Rodríguez
openaire   +1 more source

Adaptive Artificial Bee Colony Algorithm Considering Colony’s Memory

2023
Jiacheng Li, Masato Noto, Yang Zhang
openaire   +1 more source

Artificial intelligence in cancer imaging: Clinical challenges and applications

Ca-A Cancer Journal for Clinicians, 2019
Wenya Linda Bi, Ahmed Hosny, Matthew B Schabath   +2 more
exaly  

Artificial Bee Colony Optimization

2015
openaire   +1 more source

Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation

Applied Energy, 2018
Xu Chen, Bin Xu, Kangji Li
exaly