This work presents a heuristic approach proposed by one of the finalists of the Third International Timetabling Competition (ITC2011). The KHE school timetabling engine is used to generate an initial solution and then Simulated Annealing (SA) and Iterated Local Search (ILS) perform local search around this solution.

A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report results of computational experiments with a set of test functions and we compare to methods of similar structure. The accompanying software accepts objective functions coded both in Fortran 77 and C++.

For the optimal size and placement of the dynamic voltage restorer (DVR) in a distribution network, in this paper the Simulated Annealing (SA) method is proposed. The multi-objective problem is converted to a single function using the goal attainment method. The obtained results show the voltage sag improvement on sensitive load nodes and other nodes in distribution system with minimum cost.

This paper presents a modified particle swarm optimization (PSO) with simulated annealing (SA) technique. An improved PSO-based artificial neural network (ANN) is developed. The results show that the proposed SAPSO-based ANN has a better ability to escape from a local optimum and is more effective than the conventional PSO-based ANN. r 2004 Elsevier B.V. All rights reserved.

Nonlinear functions can be approximated by the linear combination of base functions, which provides a road towards the analog synthesis. An improved Simulated Annealing Algorithm(SA) for nonlinear function approximation and a universal implementation of analog circuits are presented in this paper. Synthesis results demonstrate the validity and efficiency of the proposed approach.

Electrical Impedance Tomography (EIT) is a imaging technique that attempts to reconstruct the conductivity distribution inside an object from electrical currents and potentials measured at its surface. The EIT reconstruction problem can be approached as an optimization problem where one tries to maximize the matching between a simulated impedance domain and the observed one. This optimization p...

This paper proposes a method that combines tournament selectionbased genetic algorithms (GA) with simulated annealing (SA) to improve the performance of GA. Furthermore random signal-based learning (RSBL) is added as an additional GA operator to refine the solutions after mutation. The fuzzy controller for the inverted pendulum is used to verify the validity of the proposed method.

In this paper, we deal with nonlinear integer programming problem with interval coefficients, and solve it directly keeping the nonlinearly of the objective function based on Hybrid Algorithm (HA) which is hybridized with the Genetic Algorithm (GA), Simulated Annealing (SA) method and Fuzzy Logic Controller (FLC) technique. Also, we demonstrate the efficiency of this method with optimal selecti...

Wireless sensor networks look like mobile ad hoc networks based on many aspects, but protocols which are used for ad hoc networks, are not suitable for wireless sensor networks. In ad hoc networks, the main issue about designing of protocols is quality of service, so that in wireless sensor networks the main constraint in designing protocols is limited energy of sensors. In fact, protocols whic...