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103
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GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
15 years 7 months ago
Multicriteria Network Design Using Evolutionary Algorithm
In this paper, we revisit a general class of multi-criteria multi-constrained network design problems and attempt to solve, in a novel way, with Evolutionary Algorithms (EAs). A ma...
Rajeev Kumar, Nilanjan Banerjee
125
Voted
EPS
1998
Springer
15 years 6 months ago
Evolutionary Search for Minimal Elements in Partially Ordered Finite Sets
The task of finding minimal elements of a partially ordered set is a generalization of the task of finding the global minimum of a real-valued function or of finding Pareto-optimal...
Günter Rudolph
107
Voted
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 8 months ago
MeSwarm: memetic particle swarm optimization
In this paper, a novel variant of particle swarm optimization (PSO), named memetic particle swarm optimization algorithm (MeSwarm), is proposed for tackling the overshooting probl...
Bo-Fu Liu, Hung-Ming Chen, Jian-Hung Chen, Shiow-F...
109
Voted
CP
2009
Springer
15 years 9 months ago
Pin Assignment Using Stochastic Local Search Constraint Programming
Abstract. VLSI chips design is becoming increasingly complex and calling for more and more automation. Many chip design problems can be formulated naturally as constraint problems ...
Bella Dubrov, Haggai Eran, Ari Freund, Edward F. M...
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
15 years 8 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks