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» Optimizing Sorting with Genetic Algorithms
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PPSN
2004
Springer
15 years 3 months ago
Multi-objective Optimisation by Co-operative Co-evolution
This paper presents the integration between a co-operative co-evolutionary genetic algorithm (CCGA) and four evolutionary multiobjective optimisation algorithms (EMOAs): a multi-ob...
Kuntinee Maneeratana, Kittipong Boonlong, Nachol C...
CORR
2010
Springer
128views Education» more  CORR 2010»
14 years 9 months ago
A Performance Study of GA and LSH in Multiprocessor Job Scheduling
Multiprocessor task scheduling is an important and computationally difficult problem. This paper proposes a comparison study of genetic algorithm and list scheduling algorithm. Bo...
S. R. Vijayalakshmi, G. Padmavathi
IFSA
2007
Springer
138views Fuzzy Logic» more  IFSA 2007»
15 years 3 months ago
Optimization to Manage Supply Chain Disruptions Using the NSGA-II
Disruption on a supply chain provokes lost that should be minimized looking for alternative suppliers. This solution involves a strategy to manage the impact of the disruption and ...
Víctor Serrano, Matías Alvarado, Car...
GECCO
2003
Springer
245views Optimization» more  GECCO 2003»
15 years 2 months ago
A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization
Abstract. This paper introduces a modified PSO, Non-dominated Sorting Particle Swarm Optimizer (NSPSO), for better multiobjective optimization. NSPSO extends the basic form of PSO...
Xiaodong Li
65
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ASPDAC
2004
ACM
79views Hardware» more  ASPDAC 2004»
15 years 1 months ago
NSGA-based parasitic-aware optimization of a 5GHz low-noise VCO
Abstract--A parasitic-aware RF synthesis tool based on a nondominated sorting genetic algorithm (NSGA) is introduced. The NSGA-based optimizer casts the design problem as a multi-o...
Min Chu, David J. Allstot, Jeffrey M. Huard, Kim Y...