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» Dynamic populations in genetic algorithms
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PPSN
2010
Springer
14 years 11 months ago
A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover
We present a hybrid Genetic Algorithm that incorporates the Generalized Partition Crossover (GPX) operator to produce an algorithm that is competitive with the state of the art for...
Darrell Whitley, Doug Hains, Adele E. Howe
96
Voted
SAC
1998
ACM
15 years 4 months ago
Scalability of an MPI-based fast messy genetic algorithm
The fast messy genetic algorithm (fmGA) belongs to a class of algorithms inspired by the principles of evolution, known appropriately as "evolutionary algorithms" (EAs)....
Laurence D. Merkle, George H. Gates Jr., Gary B. L...
93
Voted
GECCO
2003
Springer
15 years 5 months ago
Chromosome Reuse in Genetic Algorithms
This paper introduces a novel genetic algorithm strategy based on the reuse of chromosomes from previous generations in the creation of offspring individuals. A number of chromoso...
Adnan Acan, Yüce Tekol
128
Voted
GECCO
1999
Springer
15 years 4 months ago
A parameter-less genetic algorithm
From the user’s point of view, setting the parameters of a genetic algorithm (GA) is far from a trivial task. Moreover, the user is typically not interested in population sizes,...
Georges R. Harik, Fernando G. Lobo
CEC
2010
IEEE
15 years 1 months ago
A hybrid genetic algorithm and inver over approach for the travelling salesman problem
This paper proposes a two-phase hybrid approach for the travelling salesman problem (TSP). The first phase is based on a sequence based genetic algorithm (SBGA) with an embedded lo...
Shakeel Arshad, Shengxiang Yang