DocumentCode :
2432043
Title :
Utilization of evolutionary algorithms for making the environmental game much more exciting
Author :
Baba, Norio ; Handa, Hisashi
Author_Institution :
Osaka Kyoiku Univ., Osaka
fYear :
2007
fDate :
17-20 Oct. 2007
Firstpage :
2150
Lastpage :
2153
Abstract :
In this paper, we suggest that EAs could be utilized for making the environmental game become much more exciting. In particular, in order attain this objective, we try to utilize evolutionary algorithms in the following steps: (1) first, we consider a new way for producing a return for each player. (2) Second, we utilize multi-objective evolutionary algorithms (MOEAs) to generate various skilled players whose decision making concerning the investment to the chemical goods (and consideration toward environmental protection) can strongly affect the environmental state of the sea. (3) Further, we utilize evolutionary programming (EP) to derive appropriate rules which could be used to help players fully enjoy game playing. Several game playing (utilizing the new rule) by our students suggest the effectiveness of our approach.
Keywords :
decision making; environmental management; evolutionary computation; game theory; chemical goods investment; decision making; environmental game; environmental protection; evolutionary programming; multiobjective evolutionary algorithm; Chemicals; Environmental management; Evolutionary computation; Game theory; Genetic programming; Microcomputers; Production facilities; Programming profession; Protection; Tides; Environmental Game; Fast Evolutionary Programming; Multi-Objective Evolutionary Algorithms; educational gaming; gaming; neural networks; player’s satisfaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems, 2007. ICCAS '07. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-6-2
Electronic_ISBN :
978-89-950038-6-2
Type :
conf
DOI :
10.1109/ICCAS.2007.4406687
Filename :
4406687
Link To Document :
بازگشت