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ATAL
2006
Springer
14 years 19 days ago
A novel method for automatic strategy acquisition in N-player non-zero-sum games
We present a novel method for automatically acquiring strategies for the double auction by combining evolutionary optimization together with a principled game-theoretic analysis. ...
Steve Phelps, Marek Marcinkiewicz, Simon Parsons
JDCTA
2010
148views more  JDCTA 2010»
13 years 3 months ago
Application Research on Optimal Path Based on Genetic Algorithm
At present, China's automobile logistics cost accounts for more than 20% of the production of motor vehicles. Therefore, lowering logistics cost by seeking its best path is a...
Lilin Fan, Huili Meng
ICTAI
2000
IEEE
14 years 1 months ago
Constrained genetic algorithms and their applications in nonlinear constrained optimization
This paper presents a problem-independent framework that uni es various mechanisms for solving discrete constrained nonlinear programming (NLP) problems whose functions are not ne...
Benjamin W. Wah, Yixin Chen
GECCO
2007
Springer
175views Optimization» more  GECCO 2007»
14 years 3 months ago
An evolutionary multiobjective approach to design highly non-linear Boolean functions
The proliferation of all kinds of devices with different security requirements and constraints, and the arms-race nature of the security problem are increasingly demanding the de...
Hernán E. Aguirre, Hiroyuki Okazaki, Yasush...
NCA
2008
IEEE
13 years 8 months ago
Neurodynamic programming: a case study of the traveling salesman problem
The paper focuses on the study of solving the large-scale traveling salesman problem (TSP) based on neurodynamic programming. From this perspective, two methods, temporal differenc...
Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan, Derong ...