Strategies to improve cuckoo search toward adapting randomly changing environment

Yuta Umenai, Fumito Uwano, Hiroyuki Sato, Keiki Takadama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cuckoo Search (CS) is the powerful optimization algorithm and has been researched recently. Cuckoo Search for Dynamic Environment (D-CS) has proposed and tested in dynamic environment with multi-modality and cyclically before. It was clear that has the hold capability and can find the optimal solutions in this environment. Although these experiments only provide the valuable results in this environment, D-CS not fully explored in dynamic environment with other dynamism. We investigate and discuss the find and hold capabilities of D-CS on dynamic environment with randomness. We employed the multi-modal dynamic function with randomness and applied D-CS into this environment. We compared D-CS with CS in terms of getting the better fitness. The experimental result shows the D-CS has the good hold capability on dynamic environment with randomness. Introducing the Local Solution Comparison strategy and Concurrent Solution Generating strategy help to get the hold and find capabilities on dynamic environment with randomness.

Original languageEnglish
Title of host publicationAdvances in Swarm Intelligence - 8th International Conference, ICSI 2017, Proceedings
EditorsYing Tan, Hideyuki Takagi, Yuhui Shi
PublisherSpringer Verlag
Pages573-582
Number of pages10
ISBN (Print)9783319618234
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event8th International Conference on Swarm Intelligence, ICSI 2017 - Fukuoka, Japan
Duration: Jul 27 2017Aug 1 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10385 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Swarm Intelligence, ICSI 2017
Country/TerritoryJapan
CityFukuoka
Period7/27/178/1/17

Keywords

  • Cuckoo Search
  • Dynamic environment
  • Swarm intelligence

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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