The problem of multiprocessor scheduling can be stated as scheduling a general task graph on a multiprocessor system such that a set of performance criteria will be optimized. This study investigates the use of near optimal scheduling strategies in multiprocessor scheduling problem. The multiprocessor scheduling problem is modeled and simulated using five different simulated annealing algorithm...

The simulated annealing method has recently been applied to several multiparameter optimization problems, including those of geophysical inversion. A new variant of simulated annealing, called very fast simulated annealing (VFSA), overcomes some of the drawbacks of a conventional simulated annealing; it has been found to be a practical tool for geophysical inversion (Sen & Stoffa 1995). The met...

Relations of simulated annealing and quantum annealing are studied by a mapping from the transition matrix of classical Markovian dynamics of the Ising model to a quantum Hamiltonian and vice versa. It is shown that these two operators, the transition matrix and the Hamiltonian, share the eigenvalue spectrum. Thus, if simulated annealing with slow temperature change does not encounter a difficu...

Simulated annealing based standard cell placement for VLSI designs has long been acknowledged as a compute-intensive process, and as a result several research efforts have been undertaken to parallelize this algorithm. Most previous parallel approaches to cell placement annealing have used a parallel moves approach. In this paper we investigate two new approaches that have been proposed for gen...

This paper considers the determination of optimal team lineups in Twenty20 cricket where a lineup consists of three components: team selection, batting order and bowling order. Via match simulation, we estimate the expected runs scored minus the expected runs allowed for a given lineup. The lineup is then optimized over a vast combinatorial space via simulated annealing. We observe that the com...

The analysis of interrupts is a structured quagmire. In this position paper, we demonstrate the investigation of simulated annealing. KaliNil, our new methodology for DNS, is the solution to all of these problems.

連続設計変数を持つ最適化問題に対しては, これまで非線形数理計画法による解法が主流で あった.設計空間が単峰で,しかも目的関数の 勾配が連続である場合にはこのアプロ-チは極 めて有効であるが,そうでない場合には遺伝的 アルゴリズム(GA),シミュレーテッドアニー リング(SA),あるいはタブーサーチ(TS)な ど,ヒューリスティックサーチ(heuristic search) [1]とよばれる方法が用いられることも多くなっ てきた.なかでも,GAとSAはこのような手法 の双璧であり,連続最適化問題に対しても多く の研究が行われてきた[2].一般的に,設計空間 内にサイズの大きい局所解領域が多く存在する 場合にはGAが有効であり,設計空間全域的には 単峰に近いが,サイズの小さい局所解領域が無 数に存在する場合にはSAが有効である[3]. SA[4]は,炉内の固体の熱的平衡状態をシミュ レ...