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» Real-World Applications of Multiobjective Optimization
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GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
14 years 2 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
FCCM
2002
IEEE
208views VLSI» more  FCCM 2002»
14 years 1 months ago
The Effects of Datapath Placement and C-Slow Retiming on Three Computational Benchmarks
C-slow retiming (changing a design to support multiple instances of a computation) and datapath-aware placement have long been advocated by members of the FPGA synthesis community...
Nicholas Weaver, John Wawrzynek
INFORMS
2007
150views more  INFORMS 2007»
13 years 8 months ago
SSPMO: A Scatter Tabu Search Procedure for Non-Linear Multiobjective Optimization
— We describe the development and testing of a metaheuristic procedure, based on the scatter search methodology, for the problem of approximating the efficient frontier of nonlin...
Julián Molina Luque, Manuel Laguna, Rafael ...
GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
13 years 9 months ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan
FLAIRS
2004
13 years 10 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber