Sentence examples for simulation annealing from inspiring English sources

In this article, we (1) develop and demonstrate a knowledge-informed Pareto simulated annealing approach to tackle specifically multi-objective allocation problems that consider spatial patterns as objectives and (2) determine whether the knowledge-informed approach is more effective than standard Pareto simulation annealing in solving multi-objective spatial allocation problems.

Problem-solving methodology is described in Hybrid simulation annealing, and computational results are discussed in Results and discussion.

averaged cost of bus trips Fixed Pareto optimal solutions and simulation annealing A network with 8 nodes and 11 links Yu et al. [27] Route length Demand satisfaction Route type Max.

Hopper and Turton (2001) in their paper investigated a number of metaheuristic approaches which included simulation annealing and GA by combining them with a number of existing heuristics like BL and BLF.

The combined simulation annealing and Levenberg Marquardt algorithm was employed for the optimization of the objective functions ((sumlimits_{i = 1}^{12} {sumlimits_{j = 1}^{10} {left( {y_{{j,;{text{cal}}}} - y_{j,;exp } } right)^{2} } }), (y_{{j,;{text{cal}}}}) and (y_{j,exp }) are the calculated and experimental values of the yield of each lump, respectively).

A hybrid algorithm that combines simulation annealing algorithm (SA) and Nelder Mead simplex search method (NM) is proposed to minimize the objective function constructed by LITP profile for determination of the thermal diffusivities (αx and αz) and subsurface defect characteristics (size D and depth HD).

These include Monte Carlo simulation [ 22], simulated annealing [ 23], genetic algorithms (GA) [ 24, 25], tabu search with GA [ 26], tabu search with hill climbing [ 27], ant colony optimisation [ 28], particle swarm optimisation [ 29, 30], immune algorithms [ 31], tabu-based stochastic local search [ 8, 32], and constraint programming [ 33, 34].

To solve the model, a fuzzy random simulation-based nested simulated annealing algorithm was designed.

Simulated annealing molecular dynamics simulations demonstrated that some of the compounds were capable of adopting a 15-membered intramolecularly hydrogen-bonded conformation, which supports an antiparallel β-sheet structure.

Geometry was optimized using simulated annealing algorithm with the help of Desmond molecular dynamics simulations software tool.

Simulation has indicated that distributed self-organization of autonomous swarms might be achieved through Gibbs sampler-based simulated annealing.