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GECCO
2009
Springer
119views Optimization» more  GECCO 2009»
15 years 2 months ago
Cooperative micro-differential evolution for high-dimensional problems
High–dimensional optimization problems appear very often in demanding applications. Although evolutionary algorithms constitute a valuable tool for solving such problems, their ...
Konstantinos E. Parsopoulos
VLSID
2005
IEEE
120views VLSI» more  VLSID 2005»
15 years 3 months ago
On Finding Consecutive Test Vectors in a Random Sequence for Energy-Aware BIST Design
During pseudorandom testing, a significant amount of energy and test application time is wasted for generating and for applying “useless” test vectors that do not contribute t...
Sheng Zhang, Sharad C. Seth, Bhargab B. Bhattachar...
ICNC
2009
Springer
15 years 4 months ago
An Improved Greedy Genetic Algorithm for Solving Travelling Salesman Problem
—Genetic algorithm (GA) is too dependent on the initial population and a lack of local search ability. In this paper, an improved greedy genetic algorithm (IGAA) is proposed to o...
Zhenchao Wang, Haibin Duan, Xiangyin Zhang
ISICA
2007
Springer
15 years 3 months ago
A New Evolutionary Decision Theory for Many-Objective Optimization Problems
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
Zhuo Kang, Lishan Kang, Xiufen Zou, Minzhong Liu, ...
SAT
2007
Springer
95views Hardware» more  SAT 2007»
15 years 3 months ago
Solving Multi-objective Pseudo-Boolean Problems
Integer Linear Programs are widely used in areas such as routing problems, scheduling analysis and optimization, logic synthesis, and partitioning problems. As many of these proble...
Martin Lukasiewycz, Michael Glaß, Christian ...