A search algorithm for global optimisation

S. Chen*, X. X. Wang, C. J. Harris

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review


    This paper investigates a global search optimisation technique, referred to as the repeated weighted boosting search. The proposed optimisation algorithm is extremely simple and easy to implement. Heuristic explanation is given for the global search capability of this technique. Comparison is made with the two better known and widely used global search techniques, known as the genetic algorithm and adaptive simulated annealing. The effectiveness of the proposed algorithm as a global optimiser is investigated through several examples.

    Original languageEnglish
    Pages (from-to)1122-1130
    Number of pages9
    JournalLecture Notes in Computer Science
    Issue numberPART II
    Publication statusPublished - 24 Oct 2005


    Dive into the research topics of 'A search algorithm for global optimisation'. Together they form a unique fingerprint.

    Cite this