ACM Transactions on Mathematical Software (TOMS)
An introduction to splines for use in computer graphics & geometric modeling
An introduction to splines for use in computer graphics & geometric modeling
Computational experience with generalized simulated annealing over continuous variables
American Journal of Mathematical and Management Sciences
Phase transitions and the search problem
Artificial Intelligence - Special volume on frontiers in problem solving: phase transitions and complexity
Continuous optimization by a variant of simulated annealing
Computational Optimization and Applications
Simulated Annealing: Searching for an Optimal Temperature Schedule
SIAM Journal on Optimization
Simulated annealing with advanced adaptive neighborhood
Second international workshop on Intelligent systems design and application
Expert Systems with Applications: An International Journal
Very fast simulated re-annealing
Mathematical and Computer Modelling: An International Journal
Genetic Algorithms and Very Fast Simulated Reannealing: A comparison
Mathematical and Computer Modelling: An International Journal
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Simulated annealing (SA) is an optimization technique that can process cost functions with degrees of nonlinearities, discontinuities and stochasticity. It can process arbitrary boundary conditions and constraints imposed on these cost functions. The SA technique is applied to the problem of robot path planning. Three situations are considered here: the path is represented as a polyline; as a Bezier curve; and as a spline interpolated curve. In the proposed SA algorithm, the sensitivity of each continuous parameter is evaluated at each iteration increasing the number of accepted solutions. The sensitivity of each parameter is associated to its probability distribution in the definition of the next candidate.