Research Commentary: Survival of the Fittest Algorithm or the Novelest Algorithm?

Authors:
Zong Woo Geem
Affiliations:
iGlobal University, USA
Venue:
International Journal of Applied Metaheuristic Computing
Year:
2010

Citing 5
Cited 0

Evolution strategies –A comprehensive introduction

Natural Computing: an international journal
Music Composition Using Harmony Search Algorithm

Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Optimal scheduling of multiple dam system using harmony search algorithm

IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Harmony search in water pump switching problem

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
A Rigorous Analysis of the Harmony Search Algorithm: How the Research Community can be Misled by a "Novel" Methodology

International Journal of Applied Metaheuristic Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recently a paper was published which claims "harmony search is equivalent to evolution strategies and because the latter is not popular currently, the former has no future. Also, research community was misguided by the former's disguised novelty." This paper is written to rebut the original paper's claims by saying 1) harmony search is different from evolution strategies because each has its own uniqueness, 2) performance, rather than novelty, is an algorithm's survival factor, and 3) the original paper was biased to mislead into a predefined conclusion." Also, the shortcomings of current review system, citation system, and funding system are briefly mentioned.