Results 21 to 30 of about 1,616,775 (220)
Multiobjective Simulated Annealing: Principles and Algorithm Variants
Advances in Operations Research, 2019 Simulated annealing is a stochastic local search method, initially introduced for global combinatorial mono-objective optimisation problems, allowing gradual convergence to a near-optimal solution.
Khalil Amine
semanticscholar +1 more source
Electrical Conductivity Evidence for the Existence of a Mantle Plume Beneath Tarim Basin
Applied Sciences, 2021 This paper proposes using a simulated annealing (SA) calculation to perform one-dimensional inversion of Geomagnetic Depth Sounding (GDS) to obtain the conductivity information of the lower mantle beneath the Tarim area, to calculate the temperature of ...
Junhao Guo, Xinbao Lian, Xueqiu Wang
doaj +1 more source
Solving ill-conditioned linear equations using simulated annealing method [PDF]
Journal of Hyperstructures, 2018 The purpose of this paper is to using the Simulated Annealing method to solving a linear equations system which have an ill-conditioned coefficients matrix. A linear equation system is called ill-conditioned if its condition number be large.
Mojtaba Moradi
doaj +1 more source
Simulated annealing and joint manufacturing batch-sizing [PDF]
Yugoslav Journal of Operations Research, 2003 We address an important problem of a manufacturing system. The system procures raw materials from outside suppliers in a lot and processes them to produce finished goods.
Sarker Ruhul, Yao Xin
doaj +1 more source
Journal of Applied Mathematics, 2014 Much of the previous work in D-optimal design for regression models with correlated errors focused on polynomial models with a single predictor variable, in large part because of the intractability of an analytic solution.
Chang Li, Daniel C. Coster
doaj +1 more source
MEDICAL STAFF SCHEDULING USING SIMULATED ANNEALING
Kvalita Inovácia Prosperita, 2015 Purpose: The efficiency of medical staff is a fundamental feature of healthcare facilities quality. Therefore the better implementation of their preferences into the scheduling problem might not only rise the work-life balance of doctors and nurses, but ...
Ladislav Rosocha +2 more
doaj +1 more source
Using Feedback Strategies in Simulated Annealing with Crystallization Heuristic and Applications
Applied Sciences, 2021 This paper represents how typical advanced engineering design can be structured using a set of parameters and objective functions corresponding to the nature of the problem. The set of parameters can be in different types, including integer, real, cyclic,
Guilherme C. Duran +7 more
doaj +1 more source
Simulated Quantum Annealing Can Be Exponentially Faster Than Classical Simulated Annealing [PDF]
IEEE Annual Symposium on Foundations of Computer Science, 2016 Can quantum computers solve optimization problems much more quickly than classical computers? One major piece of evidence for this proposition has been the fact that Quantum Annealing (QA) finds the minimum of some cost functions exponentially more ...
E. Crosson, A. Harrow
semanticscholar +1 more source
Simulated annealing on uncorrelated energy landscapes
International Journal of Mathematics and Mathematical Sciences, 1994 A function f:{0,1,2,L,a}n→R is said to be uncorrelated if Prob[f(x)≤u]=G(u). This paper studies the effectiveness of simulated annealing as a strategy for optimizing uncorrelated functions.
Ben Goertzel, Malwane Ananda
doaj +1 more source
Statistical Science, 1993 Simulated annealing is a probabilistic method proposed in Kirkpatrick, Gelett and Vecchi (1983) and Cerny (1985) for finding the global minimum of a cost function that may possess several local minima. It works by emulating the physical process whereby a solid is slowly cooled so that when eventually its structure is "frozen," this happens at a minimum
Bertsimas, Dimitris, Tsitsiklis, John
openaire +2 more sources