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GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
15 years 8 months ago
Directional self-learning of genetic algorithm
In order to overcome the low convergence speed and prematurity of classical genetic algorithm, an improved method named directional self-learning of genetic algorithm (DSLGA) is p...
Lin Cong, Yuheng Sha, Licheng Jiao, Fang Liu
GECCO
2004
Springer
234views Optimization» more  GECCO 2004»
15 years 7 months ago
A Generic Network Design for a Closed-Loop Supply Chain Using Genetic Algorithm
Recently much research has focused on both the supply chain and reverse logistics network design problem. The rapid progress in computer and network technology and the increasingly...
Eoksu Sim, Sungwon Jung, Haejoong Kim, Jinwoo Park
PPSC
1997
15 years 3 months ago
Case Studies in Protein Structure Prediction with Real-valued Genetic Algorithms
Accurate and reliable protein structure prediction (PSP) eludes researchers primarily becausethe searchfor theminimumenergyconformeris computationallyintractable. This research di...
Charles E. Kaiser, Laurence D. Merkle, Gary B. Lam...
HEURISTICS
2002
146views more  HEURISTICS 2002»
15 years 2 months ago
Hybrid Genetic Algorithm for DNA Sequencing with Errors
In the paper, a new hybrid genetic algorithm solving the DNA sequencing problem with negative and positive errors is presented. The algorithm has as its input a set of oligonucleo...
Jacek Blazewicz, Marta Kasprzak, Wojciech Kuroczyc...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 8 months ago
A genetic algorithm for optimized reconstruction of quantized one-dimensional signals
This paper describes a genetic algorithm (GA) that evolves optimized sets of coefficients for one-dimensional signal reconstruction under lossy conditions due to quantization. Beg...
Frank W. Moore