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» On Using Populations of Sets in Multiobjective Optimization
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SAT
2007
Springer
95views Hardware» more  SAT 2007»
15 years 5 months ago
Solving Multi-objective Pseudo-Boolean Problems
Integer Linear Programs are widely used in areas such as routing problems, scheduling analysis and optimization, logic synthesis, and partitioning problems. As many of these proble...
Martin Lukasiewycz, Michael Glaß, Christian ...
IFIP
2001
Springer
15 years 4 months ago
An Evolutionary Approach for Pareto-optimal Configurations in SOC Platforms
: One of the most important problems in SOC platforms design is that of defining strategies for tuning the parameters of a parameterized system so as to obtain the Pareto-optimal s...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
15 years 5 months ago
Diversity as a selection pressure in dynamic environments
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...
Lam Thu Bui, Jürgen Branke, Hussein A. Abbass
GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
15 years 4 months ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...
GECCO
2008
Springer
109views Optimization» more  GECCO 2008»
15 years 25 days ago
A tunable model for multi-objective, epistatic, rugged, and neutral fitness landscapes
The fitness landscape of a problem is the relation between the solution candidates and their reproduction probability. In order to understand optimization problems, it is essenti...
Thomas Weise, Stefan Niemczyk, Hendrik Skubch, Rol...