In this paper, an improved genetic algorithm for multi-object optimization is proposed. Simulated annealing is used to local search in genetic algorithms. Furthermore, fuzzy reasoning is adopted to modify crossover probability and mutation probability according to characteristics of population in genetic algorithms instead of fixed parameters. And so, it can be convergence to global optimum qui...

Simulated annealing algorithms for VLSI layout tasks produce solutions of high quality but are computationally expensive. This thesis examines some parallel approaches to accelerate simulated annealing using message-passing multiprocessors with a hypercube architecture. Floorplanning is chosen as a typical application of annealing in physical design. Different partitioning strategies which map ...

This paper presents studies on a deterministic annealing algorithm based on quantum annealing for variational Bayes (QAVB) inference, which can be seen as an extension of the simulated annealing for variational Bayes (SAVB) inference. QAVB is as easy as SAVB to implement. Experiments revealed QAVB finds a better local optimum than SAVB in terms of the variational free energy in latent Dirichlet...

Many heuristics, such as simulated annealing, genetic algorithms, greedy randomized adaptive search procedures are stochastic. In this paper, we propose a deterministic heuristic algorithm, which is applied to the quadratic assignment problem. We refer this algorithm to as intensive search algorithm (or briefly intensive search). We tested our algorithm on the various instances from the library...

Damon W. K. Wong George C. K. Chen, MEMBER SPIE Nanyang Technological University School of Electrical and Electronic Engineering Nanyang Avenue Abstract. A modified genetic algorithm is proposed for the optimization of holographic diffusers for diffuse IR wireless home networking. The novel algorithm combines the conventional genetic algorithm and the simulated annealing algorithm, in which the...

The paper presents a new algorithm for circuit partitioning that exploits some of the latest innovations of evolutionary approaches. The proposed algorithm based on swarm intelligence technique hybrids discrete version of artificial bee colony algorithm with Inver over operator along with simulated annealing technique for local improvement of solution. The algorithm is tested on small UCLA inst...

this paper presents a new mathematical model for a redundancyallocation problem (rap) withcold-standby redundancy strategy and multiple component choices.the applications of the proposed model arecommon in electrical power, transformation,telecommunication systems,etc.manystudies have concentrated onone type of time-to-failure, butin thispaper, two components of time-to-failures which follow hy...

the multivariate exponentially weighted moving average (mewma) control chart is one of the best statistical control chart that are usually used to detect simultaneous small deviations on the mean of more than one cross-correlated quality characteristics. the economic design of mewma control charts involves solving a combinatorial optimization model that is composed of a nonlinear cost function ...

in today’s competitive transportation systems, passengers search to find traveling agencies that are able to serve them efficiently considering both traveling time and transportation costs. in this paper, we present a new model for the traveling salesman problem with multiple transporters (tspmt). in the proposed model, which is more applicable than the traditional versions, each city has diffe...