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EMO
2009
Springer
190views Optimization» more  EMO 2009»
14 years 2 months ago
Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms
Abstract. Bilevel optimization problems require every feasible upperlevel solution to satisfy optimality of a lower-level optimization problem. These problems commonly appear in ma...
Kalyanmoy Deb, Ankur Sinha
GECCO
2009
Springer
137views Optimization» more  GECCO 2009»
13 years 11 months ago
Efficient natural evolution strategies
Efficient Natural Evolution Strategies (eNES) is a novel alternative to conventional evolutionary algorithms, using the natural gradient to adapt the mutation distribution. Unlike...
Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Sch...
CEC
2009
IEEE
14 years 2 months ago
A cognitive system based on fuzzy information processing and multi-objective evolutionary algorithm
— A cognitive system is presented, which is based on coupling a multi-objective evolutionary algorithm with a fuzzy information processing system. The aim of the system is to ide...
Michael S. Bittermann, Özer Ciftcioglu, I. Se...
ICCD
2000
IEEE
135views Hardware» more  ICCD 2000»
14 years 4 months ago
A Methodology and Tool for Automated Transformational High-Level Design Space Exploration
el of abstraction by integrating a high-level estimation step. This results in a design loop which is tight led on high level of abstraction (called estimation loop in figure 1). ...
Joachim Gerlach, Wolfgang Rosenstiel
IASSE
2004
13 years 9 months ago
System Evolution through Design Information Evolution: a Case Study
This paper describes how design information, in our case UML specifications, can be used to evolve a software system and validate the consistency of such an evolution. This work c...
Walter Cazzola, Ahmed Ghoneim, Gunter Saake