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» Evolutionary multiobjective optimization
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GECCO
2004
Springer
156views Optimization» more  GECCO 2004»
14 years 3 months ago
Optimized Design of MEMS by Evolutionary Multi-objective Optimization with Interactive Evolutionary Computation
We combine interactive evolutionary computation (IEC) with existing evolutionary synthesis software for the design of micromachined resonators and evaluate its effectiveness using...
Raffi R. Kamalian, Hideyuki Takagi, Alice M. Agogi...
EMO
2003
Springer
109views Optimization» more  EMO 2003»
14 years 2 months ago
A Population and Interval Constraint Propagation Algorithm
We present PICPA, a new algorithm for tackling constrained continuous multi-objective problems. The algorithm combines constraint propagation techniques and evolutionary concepts. ...
Vincent Barichard, Jin-Kao Hao
GECCO
2003
Springer
14 years 2 months ago
Effective Use of Directional Information in Multi-objective Evolutionary Computation
While genetically inspired approaches to multi-objective optimization have many advantages over conventional approaches, they do not explicitly exploit directional/gradient informa...
Martin Brown, Robert E. Smith
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
14 years 1 months ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
EC
2000
187views ECommerce» more  EC 2000»
13 years 9 months ago
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele