Brain storm optimization algorithm with modified step-size and individual generation

Dadian Zhou*, Yuhui Shi, Shi Cheng

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

66 Citations (Scopus)

Abstract

Brain Storm Optimization algorithm is inspired from the humans' brainstorming process. It simulates the problem-solving process of a group of people. In this paper, the original BSO algorithm is modified by amending the original BSO. First the step-size is adapted according to the dynamic range of individuals on each dimension. Second, the new individuals are generated in a batch-mode and then selected into the next generation. Experiments are conducted to demonstrate the performance of the modified BSO by testing on ten benchmark functions. The experimental results show that the modified BSO algorithm performs better than the original BSO.

Original languageEnglish
Title of host publicationAdvances in Swarm Intelligence - Third International Conference, ICSI 2012, Proceedings
Pages243-252
Number of pages10
EditionPART 1
DOIs
Publication statusPublished - 2012
Event3rd International Conference on Swarm Intelligence, ICSI 2012 - Shenzhen, China
Duration: 17 Jun 201220 Jun 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7331 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Swarm Intelligence, ICSI 2012
Country/TerritoryChina
CityShenzhen
Period17/06/1220/06/12

Keywords

  • Adaptive step-size
  • Brain Storm Optimization
  • Selection

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