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EVOW
2009
Springer
16 years 26 days ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
GECCO
2010
Springer
194views Optimization» more  GECCO 2010»
15 years 11 months ago
Fitting multi-planet transit models to photometric time-data series by evolution strategies
In this paper we present the application of an evolution strategy to the problem of detecting multi-planet transit events in photometric time-data series. Planetary transits occur...
Andreas M. Chwatal, Günther R. Raidl, Michael...
PLILP
1993
Springer
15 years 10 months ago
Narrowing Approximations as an Optimization for Equational Logic Programs
Abstract. Solving equations in equational theories is a relevant programming paradigm which integrates logic and equational programming into one unified framework. Efficient metho...
María Alpuente, Moreno Falaschi, Marí...
ISCAS
1999
IEEE
106views Hardware» more  ISCAS 1999»
15 years 10 months ago
Multi-objective design strategy for high-level low power design of DSP systems
High-level power design presents a complex, multiobjective problem that involves the simultaneous optimisation of competing criteria such as speed, area and power. It is difficult...
Mark S. Bright, Tughrul Arslan
AAAI
2006
15 years 7 months ago
Cost-Optimal External Planning
This paper considers strategies for external memory based optimal planning. An external breadth-first search exploration algorithm is devised that is guaranteed to find the costop...
Stefan Edelkamp, Shahid Jabbar