Brain storm optimization algorithm

Yuhui Shi*

*Corresponding author for this work

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

641 Citations (Scopus)

Abstract

Human being is the most intelligent animal in this world. Intuitively, optimization algorithm inspired by human being creative problem solving process should be superior to the optimization algorithms inspired by collective behavior of insects like ants, bee, etc. In this paper, we introduce a novel brain storm optimization algorithm, which was inspired by the human brainstorming process. Two benchmark functions were tested to validate the effectiveness and usefulness of the proposed algorithm.

Original languageEnglish
Title of host publicationAdvances in Swarm Intelligence - Second International Conference, ICSI 2011, Proceedings
Pages303-309
Number of pages7
EditionPART 1
DOIs
Publication statusPublished - 2011
Event2nd International Conference on Swarm Intelligence, ICSI 2011 - Chongqing, China
Duration: 12 Jun 201115 Jun 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6728 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Swarm Intelligence, ICSI 2011
Country/TerritoryChina
CityChongqing
Period12/06/1115/06/11

Keywords

  • Brain Storm Optimization
  • Brainstorming Process
  • Optimization

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