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» Hybrid Optimizations: Which Optimization Algorithm to Use
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CEC
2005
IEEE
15 years 10 months ago
Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies
Genetic algorithms (GAs) and evolution strategies (ESs) are two widely used evolutionary algorithms. The main differences between GAs and ESs lie in their representations and varia...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
ISCAS
2003
IEEE
119views Hardware» more  ISCAS 2003»
15 years 10 months ago
Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning
In this paper, the Simulated Evolution algorithm (SimE) is engineered to solve the optimization problem of multi-objective VLSI netlist bi-partitioning. The multi-objective versio...
Sadiq M. Sait, Aiman H. El-Maleh, Rush H. Al-Abuji
AMC
2007
111views more  AMC 2007»
15 years 5 months ago
Locating multiple optima using particle swarm optimization
Many scientific and engineering applications require optimization methods to find more than one solution to multimodal optimization problems. This paper presents a new particle ...
R. Brits, Andries Petrus Engelbrecht, F. Van den B...
AAECC
2009
Springer
138views Algorithms» more  AAECC 2009»
15 years 9 months ago
Efficient Constructions of Deterministic Encryption from Hybrid Encryption and Code-Based PKE
Abstract. We build on the new security notion for deterministic encryption (PRIV) and the PRIV-secure schemes presented by Bellare et al at Crypto'07. Our work introduces: 1) ...
Yang Cui, Kirill Morozov, Kazukuni Kobara, Hideki ...
ML
2007
ACM
131views Machine Learning» more  ML 2007»
15 years 4 months ago
A primal-dual perspective of online learning algorithms
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer