%0 Conference Proceedings
%T Fitness Function in ABC Algorithm for Uncapacitated Facility Location Problem
%+ Akita University
%A Watanabe, Yusuke
%A Takaya, Mayumi
%A Yamamura, Akihiro
%Z Part 5: Applied Modeling and Simulation
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 3rd International Conference on Information and Communication Technology-EurAsia (ICT-EURASIA) and 9th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS)
%C Daejon, South Korea
%Y Ismail Khalil
%Y Erich Neuhold
%Y A Min Tjoa
%Y Li Da Xu
%Y Ilsun You
%I Springer
%3 Information and Communication Technology
%V LNCS-9357
%P 129-138
%8 2015-10-04
%D 2015
%R 10.1007/978-3-319-24315-3_13
%K Swarm intelligence
%K Artificial bee colony algorithm
%K Uncapacitated facility location problem
%K Fitness function
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X We study the fitness function of the artificial bee colony algorithm applying to solve the uncapacitated facility location problem. Our hypothesis is that the fitness function in the artificial bee colony algorithm is not necessarily suitable for specific optimization problems. We carry out experiments to examine several fitness functions for the artificial bee colony algorithm to solve the uncapacitated facility location problem and show the conventional fitness function is not necessarily suitable.
%G English
%Z TC 5
%Z TC 8
%Z WG 8.9
%2 https://inria.hal.science/hal-01466212/document
%2 https://inria.hal.science/hal-01466212/file/978-3-319-24315-3_13_Chapter.pdf
%L hal-01466212
%U https://inria.hal.science/hal-01466212
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-TC8
%~ IFIP-ICT-EURASIA
%~ IFIP-WG8-9
%~ IFIP-LNCS-9357
%~ IFIP-CONFENIS