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ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
15 years 8 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
107
Voted
ICCAD
1994
IEEE
61views Hardware» more  ICCAD 1994»
15 years 6 months ago
Simultaneous driver and wire sizing for performance and power optimization
In this paper, we study the simultaneousdriver and wire sizing (SDWS) problem under two objective functions: (i) delay minimization only, or (ii) combined delay and power dissipat...
Jason Cong, Cheng-Kok Koh
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
15 years 8 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
SIGIR
2005
ACM
15 years 8 months ago
Optimization strategies for complex queries
Previous research into the efficiency of text retrieval systems has dealt primarily with methods that consider inverted lists in sequence; these methods are known as term-at-a-tim...
Trevor Strohman, Howard R. Turtle, W. Bruce Croft
131
Voted
ATAL
2003
Springer
15 years 7 months ago
Multiagent diffusion and distributed optimization
Distributed problem solving by a multiagent system represents a promising approach to solving complex computational problems. However, many multiagent systems require certain degr...
Kwok Ching Tsui, Jiming Liu