Parallelization is of great advantage to speed-up of calculation. In this paper, the proposition of parallelizing the rejectionless method [1] is presented. While for this parallelization the efficiency was confirmed with an experiment of TSP and the relationship with the number of cities was analyzed. Key-Word: Boltzmann machine, Hopfied network, simulated annealing, rejectionless method

There is an increasing demand for tools which support the land use planning process and one of the most complex tasks of this process is the design of a land use zoning map. With this aim an algorithm based on simulated annealing has been designed to optimize the delimitation of land use categories according to suitability and compactness criteria. The high number of plots involved in a land us...

Simulated annealing is a well-studied local search metaheuristic used to address discrete and, to a lesser extent, continuous optimization problems. The key feature of simulated annealing is that it provides a mechanism to escape local optima by allowing hill-climbing moves (i.e., moves which worsen the objective function value) in hopes of finding a global optimum. A brief history of simulated...

in this paper, we study different methods of solving joint redundancy-availability optimization for series-parallel systems with multi-state components. we analyzed various effective factors on system availability in order to determine the optimum number and version of components in each sub-system and consider the effects of improving failure rates of each component in each sub-system and impr...

Simulated annealing and and single trial versions of evolution strategies possess a close relationship when they are designed for optimization over continuous variables. Analytical investigations of their diierences and similarities lead to a cross-fertilization of both approaches, resulting in new theoretical results, new parallel population based algorithms, and a better understanding of the ...

多峰性の連続最適化問題にシミュレーテッドアニーリング (SA)を適用する場合,著者らがすでに 提案している最適な受理確率を目標とする適応的近傍を持つ SA(SA/AAN)が有効である.本論文 では,並列計算機を用いて組み合わせ最適化問題を解く場合に有効な並列アルゴリズムの 1つである 温度並列シミュレーテッドアニーリング (TPSA)に SA/AAN を組み込んだ手法を提案する.提案 手法は各プロセス (プロセッサ)が担当する各温度において,適応的な近傍拡大率を持つ近傍を用い て探索するため,関数のランドスケープに適応した探索が行うことが可能である.一方,TPSAは温 度スケジュールが不要であるという特徴がある.そのため本論文で提案する手法は,温度,近傍とも に関数のランドスケープに合わせ自律的な調節を行うことができるという優れた特徴を持つことがわ かった.3 つの代表的なテスト関数...

The paper describes an application of Parallel Simulated Annealing (PSA) for solving one of the most studied NP-hard optimization problems: Graph Coloring Problem (GCP). Synchronous master-slave model with periodic solution update is being used. The paper contains description of the method, recommendations for optimal parameters settings and summary of results obtained during algorithm’s evalua...

The aim of this paper is to provide a parallel strategy to be used when implementing the Simulated Annealing process by distributed memory systems. It focuses the attention on the portfolio selection problem with dynamic and integer constraints on the variables. However, this method can be extended to any dynamic optimisation problem as the optimal control. In the first part it develops the seq...

To solve real-world discrete optimization problems approximately metaheuristics such as simulated annealing and other local search methods are commonly used. For large instances of these problems or those with a lot of hard constraints even fast heuristics require a considerable amount of computational time. At the same time, especially for sensitivity analyses, fast response times are necessar...

This paper considers a solution to the school timetabling problem. The timetabling problem involves scheduling a number of tuples, each consisting of class of students, a teacher, a subject and a room, to a fixed number of time slots. A Monte Carlo scheme called simulated annealing is used as an optimisation technique. The paper introduces the timetabling problem, and then describes the simulat...