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» A novel memetic algorithm for constrained optimization
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ESWA
2007
100views more  ESWA 2007»
13 years 6 months ago
Using memetic algorithms with guided local search to solve assembly sequence planning
The goal of assembly planning consists in generating feasible sequences to assemble a product and selecting an efficient assembly sequence from which related constraint factors su...
Hwai-En Tseng, Wen-Pai Wang, Hsun-Yi Shih
CEC
2008
IEEE
14 years 24 days ago
A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients
— Many deterministic algorithms in the context of constrained optimization require the first-order derivatives, or the gradient vectors, of the objective and constraint function...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...
CEC
2010
IEEE
13 years 7 months ago
Multi-objective memetic evolution of ART-based classifiers
In this paper we present a novel framework for evolving ART-based classification models, which we refer to as MOME-ART. The new training framework aims to evolve populations of ART...
Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem K...
ICCCI
2009
Springer
13 years 4 months ago
Firefly Algorithm for Continuous Constrained Optimization Tasks
Abstract. The paper provides an insight into the improved novel metaheuristics of the Firefly Algorithm for constrained continuous optimization tasks. The presented technique is in...
Szymon Lukasik, Slawomir Zak
CEC
2005
IEEE
13 years 12 months ago
Ecology-inspired evolutionary algorithm using feasibility-based grouping for constrained optimization
When evolutionary algorithms are used for solving numerical constrained optimization problems, how to deal with the relationship between feasible and infeasible individuals can dir...
Ming Yuchi, Jong-Hwan Kim