In this paper we propose an iterative hybrid heuristic approach consisting of two phases to solve the Rectangle Packing Problem. In the first phase, a strip width value W is fixed and the corresponding Strip Packing Problem is solved using an efficient hybrid GRASP-VNS heuristic. In the second one, a new value W is determined. The above phases are repeated until the stopping condition is met. T...

The simulated annealing algorithm has been introduced into the broadcast routing of wireless sensor network so as to reduce the length and energy of broadcast path. However, its new solution is generated by randomly exchanging the location of two sensor nodes of broadcast path. Though the simulated annealing algorithm is better than 2-opt algorithm, its method of generating new solution has sti...

With increasing interest in human-computer interaction, emotion recognition is becoming a hot spot. Support vector machine(SVM) is a machine learning algorithm based on statistic learning theory, finding the optimal separating hyperplane in the high dimensional feature space, having good classification and generalization ability. According to SVM method becoming very difficult for large data sc...

A misclassified size-biased Borel Distribution (MSBBD), where some of the observations corresponding to x = c + 1 are wrongly reported as x = c with probability α, is defined. Various estimation methods like the method of maximum likelihood (ML), method of moments, and the Bayes estimation for the parameters of the MSBB distribution are used. The performance of the estimators are studied using ...

It is difficult to determine the appropriate temperature parameters which control the acceptance probability in Simulated Annealing, which is a typical meta-heuristic method in the optimization methods. In this paper, we propose a new simulated annealing method that determines the maximum temperature adaptively. The proposed method is base on an important temperature where optimum solutions wer...

UML-B is a graphical formal modelling notation which is based on UML and relies on Event-B and its verification tools. In this paper, we propose annealing and introduce subtyping rules as well-known refactoring rules which can improve and assist the derivation of object-oriented design from an abstract specification written in UML-B. We prove that the proposed annealing rules are behavior prese...

Generic Iterative Simulated-Annealing Search (GISS) is a hyper-heuristic algorithm inspired on a Simulated Annealing driven method, on this context its used to explore across the different instance-heuristicstate search space. On this extended abstract we describe the proposed approach, characteristics and others technicals parameters.

In this paper, a combination of interval type-2 fuzzy system (IT2FS) models and simulated annealing are used to predict the Mackey-Glass time series by searching for the best configuration of the IT2FS. Simulated annealing is used to optimise the parameters of the antecedent and the consequent parts of the rules for a Mamdani model. Simulated annealing is combined with a method to reduce the co...