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» A Hybrid Genetic Algorithm for the Traveling Salesman Proble...
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EVOW
2004
Springer
14 years 26 days ago
Improving Edge Recombination through Alternate Inheritance and Greedy Manner
Genetic Algorithms (GAs) are well-known heuristic algorithms and have been widely applied to solve combinatorial problems. Edge recombination is one of the famous crossovers design...
Chuan-Kang Ting
GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
13 years 11 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
2007
Springer
166views Optimization» more  GECCO 2007»
13 years 11 months ago
Crossover: the divine afflatus in search
The traditional GA theory is pillared on the Building Block Hypothesis (BBH) which states that Genetic Algorithms (GAs) work by discovering, emphasizing and recombining low order ...
David Iclanzan
GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
14 years 20 days ago
Circuit Bipartitioning Using Genetic Algorithm
Abstract. In this paper, we propose a hybrid genetic algorithm for partitioning a VLSI circuit graph into two disjoint graphs of minimum cut size. The algorithm includes a local op...
Jong-Pil Kim, Byung Ro Moon
GECCO
2009
Springer
100views Optimization» more  GECCO 2009»
14 years 2 months ago
Partial neighborhoods of elementary landscapes
This paper introduces a new component based model that makes it relatively simple to prove that certain types of landscapes are elementary. We use the model to reconstruct proofs ...
L. Darrell Whitley, Andrew M. Sutton