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128
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GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 7 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
135
Voted
CIKM
1997
Springer
15 years 6 months ago
A Framework for the Management of Past Experiences with Time-Extended Situations
: In the context of knowledge management, we focus on the representation and the retrieval of past experiences called cases within the Case-Based Reasoning (CBR) paradigm. CBR is a...
Michel Jaczynski
132
Voted
ISBI
2004
IEEE
16 years 3 months ago
SCIRun/BioPSE: Integrated Problem Solving Environment for Bioelectric Field Problems and Visualization
SCIRun is a general purpose problem solving environment that seeks to integrate the steps of preparing, executing, and visualizing simulations of physical and biological systems. ...
Robert S. MacLeod, David M. Weinstein, J. Davison ...
CLOUDCOM
2010
Springer
15 years 14 days ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
EOR
2007
77views more  EOR 2007»
15 years 2 months ago
Solving the short-term electrical generation scheduling problem by an adaptive evolutionary approach
In this paper, we introduce an adaptive evolutionary approach to solve the short-term electrical generation scheduling problem (STEGS). The STEGS is a hard constraint satisfaction...
Jorge Maturana, María-Cristina Riff