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GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
13 years 9 months ago
An Improved Adaptive Multi-Start Approach to Finding Near-Optimal Solutions to the Euclidean TSP
We present an "adaptive multi-start" genetic algorithm for the Euclidean traveling salesman problem that uses a population of tours locally optimized by the Lin-Kernigha...
Dan Bonachea, Eugene Ingerman, Joshua Levy, Scott ...
GECCO
2000
Springer
182views Optimization» more  GECCO 2000»
13 years 9 months ago
A Novel Evolvable Hardware Framework for the Evolution of High Performance Digital Circuits
This paper presents a novel evolvable hardware framework for the automated design of digital circuits for high performance applications. The technique evolves circuits correspondi...
Ben I. Hounsell, Tughrul Arslan
GECCO
2000
Springer
153views Optimization» more  GECCO 2000»
13 years 9 months ago
Applying Genetic Algorithms to Multi-Objective Land Use Planning
This paper explores the application of multiobjective Genetic Algorithms (mGAs) to rural land use planning, a spatial allocation problem. Two mGAs are proposed. Both share an unde...
Keith B. Matthews, Susan Craw, Stewart Elder, Alan...
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
13 years 6 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
13 years 9 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum