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GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
15 years 27 days ago
Single-objective front optimization: application to rf circuit design
This paper proposes a new algorithm which promotes well distributed non-dominated fronts in the parameters space when a single-objective function is optimized. This algorithm is b...
Eduardo José Solteiro Pires, Luís Me...
PACT
1997
Springer
15 years 4 months ago
Parallel and Distributed Evolutionary Computation with MANIFOLD
Abstract. In this paper, we apply a competitive coevolutionary approach using loosely coupled genetic algorithms to a distributed optimization of the Rosenbrock's function. Th...
Franciszek Seredynski, Pascal Bouvry, Farhad Arbab
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
15 years 3 months ago
Fluctuating crosstalk, deterministic noise, and GA scalability
This paper extends previous work showing how fluctuating crosstalk in a deterministic fitness function introduces noise into genetic algorithms. In that work, we modeled fluctuati...
Paul Winward, David E. Goldberg
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
15 years 5 hour ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
CGO
2007
IEEE
15 years 6 months ago
Evaluating Heuristic Optimization Phase Order Search Algorithms
Program-specific or function-specific optimization phase sequences are universally accepted to achieve better overall performance than any fixed optimization phase ordering. A ...
Prasad Kulkarni, David B. Whalley, Gary S. Tyson