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PPSN
1992
Springer
13 years 9 months ago
Nonstationary Function Optimization using the Structured Genetic Algorithm
In this paper, we describe the application of a new type of genetic algorithm called the Structured Genetic Algorithm (sGA) for function optimization in nonstationary environments...
Dipankar Dasgupta, Douglas R. McGregor
SOCO
2010
Springer
13 years 4 months ago
Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics
Local genetic algorithms have been designed with the aim of providing effective intensification. One of their most outstanding features is that they may help classical local searc...
Carlos García-Martínez, Manuel Lozan...
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
13 years 9 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
GECCO
2004
Springer
13 years 11 months ago
A Caching Genetic Algorithm for Spectral Breakpoint Matching
Abstract. Two methods were evaluated for performing spectral breakpoint matching: a multi-level pruned exhaustive search and a genetic algorithm. The GA found matches about as good...
Jonathan Mohr, Xiaobo Li
ICMCS
2000
IEEE
128views Multimedia» more  ICMCS 2000»
13 years 10 months ago
A Genetic Algorithm for Video Segmentation and Summarization
We describe a genetic segmentation algorithm for video. This algorithm operates on segments of a string representation. It is similar to both classical genetic algorithms that ope...
Patrick Chiu, Andreas Girgensohn, Wolfgang Polak, ...