— In this paper, we propose a population-based implementation of simulated annealing to tackle multi-objective optimisation problems, in particular those of combinatorial nature....
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...
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...
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...
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...