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» Evolutionary Algorithms for the Satisfiability Problem
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EVOW
2004
Springer
15 years 7 months ago
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept
Abstract. Dynamic optimization using evolutionary algorithms is receiving increasing interests. However, typical test functions for comparing the performance of various dynamic opt...
Yaochu Jin, Bernhard Sendhoff
HM
2010
Springer
157views Optimization» more  HM 2010»
15 years 2 months ago
Hybrid Heuristics for Dynamic Resource-Constrained Project Scheduling Problem
Dynamic Resource-Constrained Project Scheduling Problem (DRCPSP) is a scheduling problem that works with an uncommon kind of resources: the Dynamic Resources. They increase and dec...
André Renato Villela da Silva, Luiz Satoru ...
109
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CEC
2007
IEEE
15 years 8 months ago
Evolutionary random neural ensembles based on negative correlation learning
— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm with negative correlation learning to automatically design accurate and...
Huanhuan Chen, Xin Yao
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 8 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
15 years 6 months ago
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung