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GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
13 years 6 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
13 years 10 months ago
Hybrid Genetic Algorithms for Multi-Objective Optimisation of Water Distribution Networks
Abstract. Genetic algorithms have been a standard technique for engineers optimising water distribution networks for some time. However in recent years there has been an increasing...
Ed Keedwell, Soon-Thiam Khu
PPSN
2010
Springer
13 years 3 months ago
Improved Dynamic Lexicographic Ordering for Multi-Objective Optimisation
Abstract. There is a variety of methods for ranking objectives in multiobjective optimization and some are difficult to define because they require information a priori (e.g. esta...
Juan Pedro Castro Gutiérrez, Dario Landa-Si...
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
13 years 11 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
13 years 6 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya