TY - GEN
T1 - MOEA toolbox for computer aided multi-objective optimization
AU - Tan, K. C.
AU - Lee, T. H.
AU - Khoo, D.
AU - Khor, E. F.
AU - Kannan, R. Sathi
PY - 2000/7
Y1 - 2000/7
N2 - This paper presents a comprehensive Graphical User Interface (GUI) based MOEA Toolbox that implements Multi-Objective Evolutionary Algorithm (MOEA). The toolbox incorporates Pareto cost assignment scheme and other complementary features of hard constraint specification for constraint handling, dynamic population size, fuzzy boundary local perturbation with interactive local fine-tuning, a novel switching preserved strategy and convergence representation for multi-objective optimization. The user only needs a little programming knowledge to write the model file. Other aspects of the simulation like the settings, process monitoring and results analysis are performed on user-friendly and user-interactive GUI windows with easy-to-understand on-line help files. The MOEA Toolbox's performance in a benchmark problem and an actual application has been presented as a demonstration of the toolbox's capabilities.
AB - This paper presents a comprehensive Graphical User Interface (GUI) based MOEA Toolbox that implements Multi-Objective Evolutionary Algorithm (MOEA). The toolbox incorporates Pareto cost assignment scheme and other complementary features of hard constraint specification for constraint handling, dynamic population size, fuzzy boundary local perturbation with interactive local fine-tuning, a novel switching preserved strategy and convergence representation for multi-objective optimization. The user only needs a little programming knowledge to write the model file. Other aspects of the simulation like the settings, process monitoring and results analysis are performed on user-friendly and user-interactive GUI windows with easy-to-understand on-line help files. The MOEA Toolbox's performance in a benchmark problem and an actual application has been presented as a demonstration of the toolbox's capabilities.
UR - http://www.scopus.com/inward/record.url?scp=0033676675&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0033676675&origin=recordpage
U2 - 10.1109/CEC.2000.870273
DO - 10.1109/CEC.2000.870273
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0-7803-6375-2
VL - 1
SP - 38
EP - 45
BT - Proceedings of the 2000 Congress on Evolutionary Computation, CEC 2000
PB - IEEE
T2 - 2000 Congress on Evolutionary Computation, CEC 2000
Y2 - 16 July 2000 through 19 July 2000
ER -