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CCE
2004
15 years 4 months ago
An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem
The algorithmic framework developed for improving heuristic solutions of the new version of deterministic TSP [Choi et al., 2002] is extended to the stochastic case. To verify the...
Jaein Choi, Jay H. Lee, Matthew J. Realff
DATE
2002
IEEE
95views Hardware» more  DATE 2002»
15 years 9 months ago
A Polynomial Time Optimal Diode Insertion/Routing Algorithm for Fixing Antenna Problem
Abstract—Antenna problem is a phenomenon of plasma-induced gateoxide degradation. It directly affects manufacturability of very large scale integration (VLSI) circuits, especiall...
Li-Da Huang, Xiaoping Tang, Hua Xiang, D. F. Wong,...
ATMOS
2008
112views Optimization» more  ATMOS 2008»
15 years 6 months ago
Dynamic Algorithms for Recoverable Robustness Problems
Abstract. Recently, the recoverable robustness model has been introduced in the optimization area. This model allows to consider disruptions (input data changes) in a unified way, ...
Serafino Cicerone, Gabriele Di Stefano, Michael Sc...
EMO
2001
Springer
225views Optimization» more  EMO 2001»
15 years 9 months ago
Application of Multiobjective Evolutionary Algorithms for Dose Optimization Problems in Brachytherapy
In High Dose Rate (HDR) brachytherapy the conventional dose optimization algorithms consider the multiple objectives in form of an aggregate function which combines individual obj...
Michael Lahanas, Natasa Milickovic, Dimos Baltas, ...
130
Voted
CORR
2008
Springer
129views Education» more  CORR 2008»
15 years 4 months ago
Evolving Dynamic Change and Exchange of Genotype Encoding in Genetic Algorithms for Difficult Optimization Problems
The application of genetic algorithms (GAs) to many optimization problems in organizations often results in good performance and high quality solutions. For successful and efficien...
Maroun Bercachi, Philippe Collard, Manuel Clergue,...