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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 10 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
GECCO
2006
Springer
119views Optimization» more  GECCO 2006»
15 years 10 months ago
Mixed-integer optimization of coronary vessel image analysis using evolution strategies
In this paper we compare Mixed-Integer Evolution Strategies (MI-ES) and standard Evolution Strategies (ES) when applied to find optimal solutions for artificial test problems and ...
Rui Li, Michael Emmerich, Jeroen Eggermont, Ernst ...
GECCO
2006
Springer
139views Optimization» more  GECCO 2006»
15 years 10 months ago
Genetic programming: optimal population sizes for varying complexity problems
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
Alan Piszcz, Terence Soule
ASPDAC
2001
ACM
78views Hardware» more  ASPDAC 2001»
15 years 10 months ago
Improved crosstalk modeling for noise constrained interconnect optimization
This paper presents a much improved, highly accurate yet efficient crosstalk noise model, the 2-
Jason Cong, David Zhigang Pan, Prasanna V. Sriniva...
ATAL
2001
Springer
15 years 10 months ago
Optimal Negotiation Strategies for Agents with Incomplete Information
This paper analyzes the process of automated negotiation between two competitive agents that have firm deadlines and incomplete information about their opponent. Generally speaking...
S. Shaheen Fatima, Michael Wooldridge, Nicholas R....