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CEC
2007
IEEE
14 years 6 days ago
Fitness inheritance in evolutionary and multi-objective high-level synthesis
Abstract—The high-level synthesis process allows the automatic design and implementation of digital circuits starting from a behavioral description. Evolutionary algorithms are v...
Christian Pilato, Gianluca Palermo, Antonino Tumeo...
CEC
2010
IEEE
13 years 11 months ago
Many-objective Distinct Candidates Optimization using Differential Evolution on centrifugal pump design problems
Many-objective problems are difficult to solve using conventional multi-objective evolutionary algorithms (MOEAs) as these algorithms rely primarily on Pareto ranking to guide the ...
Peter Dueholm Justesen, Rasmus K. Ursem
GECCO
2009
Springer
133views Optimization» more  GECCO 2009»
13 years 8 months ago
Improved analysis methods for crossover-based algorithms
We deepen the theoretical analysis of the genetic algorithm for the all-pairs shortest path problem proposed by Doerr, Happ and Klein (GECCO 2008). We show that the growth of the ...
Benjamin Doerr, Madeleine Theile
EMO
2009
Springer
140views Optimization» more  EMO 2009»
14 years 3 months ago
On Using Populations of Sets in Multiobjective Optimization
Abstract. Most existing evolutionary approaches to multiobjective optimization aim at finding an appropriate set of compromise solutions, ideally a subset of the Pareto-optimal se...
Johannes Bader, Dimo Brockhoff, Samuel Welten, Eck...
CEC
2009
IEEE
14 years 5 months ago
A multi-objective approach to Redundancy Allocation Problem in parallel-series systems
— The Redundancy Allocation Problem (RAP) is a kind of reliability optimization problems. It involves the selection of components with appropriate levels of redundancy or reliabi...
Zai Wang, Tianshi Chen, Ke Tang, Xin Yao