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CEC
2008
IEEE
14 years 1 months ago
Evolutionary Multi-objective Simulated Annealing with adaptive and competitive search direction
— In this paper, we propose a population-based implementation of simulated annealing to tackle multi-objective optimisation problems, in particular those of combinatorial nature....
Hui Li, Dario Landa Silva
ICCD
1997
IEEE
123views Hardware» more  ICCD 1997»
13 years 11 months ago
A Parallel Circuit-Partitioned Algorithm for Timing Driven Cell Placement
Simulated annealing based standard cell placement for VLSI designs has long been acknowledged as a compute-intensive process. All previous work in parallel simulated annealing bas...
John A. Chandy, Prithviraj Banerjee
CP
2000
Springer
13 years 11 months ago
Optimal Anytime Constrained Simulated Annealing for Constrained Global Optimization
Abstract. In this paper we propose an optimal anytime version of constrained simulated annealing (CSA) for solving constrained nonlinear programming problems (NLPs). One of the goa...
Benjamin W. Wah, Yixin Chen
WCRE
2009
IEEE
14 years 2 months ago
Automatic Package Coupling and Cycle Minimization
Abstract—Object-oriented (OO) software is usually organized into subsystems using the concepts of package or module. Such modular structure helps applications to evolve when faci...
Hani Abdeen, Stéphane Ducasse, Houari A. Sa...
ML
2007
ACM
192views Machine Learning» more  ML 2007»
13 years 6 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang