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» On Set-Based Multiobjective Optimization
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CEC
2007
IEEE
14 years 2 months ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
ASPDAC
2004
ACM
79views Hardware» more  ASPDAC 2004»
13 years 11 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...
GECCO
2003
Springer
114views Optimization» more  GECCO 2003»
14 years 1 months ago
Genetic Algorithm for Supply Planning Optimization under Uncertain Demand
Supply planning optimization is one of the most important issues for manufacturers and distributors. Supply is planned to meet the future demand. Under the uncertainty involved in ...
Masaru Tezuka, Masahiro Hiji
ASC
2011
13 years 2 months ago
Quality of Service constrained routing optimization using Evolutionary Computation
In this work, a novel optimization framework is proposed that allows the improvement of Quality of Service levels in TCP/IP based networks, by configuring the routing weights of ...
Miguel Rocha, Pedro Sousa, Paulo Cortez, Miguel Ri...
CEC
2007
IEEE
13 years 9 months ago
Flexibility of design variables to pareto-optimal solutions in multi objective optimization problems
Abstract— In this paper, we propose the concept of the flexibility of design variables to Pareto-optimal solutions in MultiObjective Optimization problems. In addition, we intro...
Tomoyuki Hiroyasu, Shinpei Chino, Mitsunori Miki