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» Evolutionary multiobjective optimization
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ASPDAC
2006
ACM
129views Hardware» more  ASPDAC 2006»
15 years 7 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 8 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
EUROGP
2000
Springer
15 years 5 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
EMO
2005
Springer
107views Optimization» more  EMO 2005»
15 years 7 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 6 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