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» A parameter-less genetic algorithm
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167
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GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
15 years 3 months 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
GECCO
2000
Springer
170views Optimization» more  GECCO 2000»
15 years 7 months ago
A Comparison of Genetic Algorithms for the Dynamic Job Shop Scheduling Problem
The majority of the research using evolutionary algorithms for the Job Shop Scheduling Problem (JSSP) has studied only the static JSSP. Few evolutionary algorithms have been appli...
Manuel Vázquez, L. Darrell Whitley
115
Voted
GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
15 years 4 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
126
Voted
ANOR
2010
123views more  ANOR 2010»
15 years 3 months ago
Nature inspired genetic algorithms for hard packing problems
This paper presents two novel genetic algorithms (GAs) for hard industrially relevant packing problems. The design of both algorithms is inspired by aspects of molecular genetics,...
Philipp Rohlfshagen, John A. Bullinaria
117
Voted
GREC
2007
Springer
15 years 7 months ago
ARG Based on Arcs and Segments to Improve the Symbol Recognition by Genetic Algorithm
In this paper a genetic matching scheme is extended to take into account primitive arcs and complex description in the pattern recognition process. Classical ways only focus on seg...
J.-P. Salmon, Laurent Wendling