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» Evolutionary multiobjective optimization
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ASPDAC
2006
ACM
129views Hardware» more  ASPDAC 2006»
15 years 11 months ago
Yield-area optimizations of digital circuits using non-dominated sorting genetic algorithm (YOGA)
With shrinking technology, the timing variation of a digital circuit is becoming the most important factor while designing a functionally reliable circuit. Gate sizing has emerged...
Vineet Agarwal, Janet Meiling Wang
CEC
2009
IEEE
15 years 11 months ago
Performance assessment of DMOEA-DD with CEC 2009 MOEA competition test instances
—In this paper, the DMOEA-DD, which is an improvement of DMOEA[1, 2] by using domain decomposition technique, is applied to tackle the CEC 2009 MOEA competition test instances th...
Minzhong Liu, Xiufen Zou, Yu Chen, Zhijian Wu
110
Voted
EUROGP
2000
Springer
15 years 8 months ago
Seeding Genetic Programming Populations
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs...
William B. Langdon, Peter Nordin
140
Voted
EMO
2005
Springer
107views Optimization» more  EMO 2005»
15 years 10 months ago
Multiobjective Water Pinch Analysis of the Cuernavaca City Water Distribution Network
Water systems often allow efficient water uses via water reuse and/or recirculation. Defining the network layout connecting water-using processes is a complex problem which involv...
Carlos E. Mariano-Romero, Víctor Alcocer-Ya...
EMO
2001
Springer
109views Optimization» more  EMO 2001»
15 years 9 months ago
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen