In this paper, we present a non-uniform neighbourhood relation which has been developed to solve job shop scheduling by simulated annealing-based algorithms. Using this neighbourhood relation combined with a speciically designed cooling schedule, we could improve ve upper bounds for the large unsolved benchmark problems YN1, YN4, SWV12, SWV13 and SWV15. The maximum improvement has been achieved...

MOTIVATION Modeling transcriptional regulation using thermo-dynamic modeling approaches has become increasingly relevant as a way to gain a detailed understanding of transcriptional regulation. Thermodynamic models are able to model the interactions between transcription factors (TFs) and DNA that lead to a specific transcriptional output of the target gene. Such models can be 'trained' by fitt...

Annealed importance sampling is a means to assign equilibrium weights to a nonequilibrium sample that was generated by a simulated annealing protocol[1]. The weights may then be used to calculate equilibrium averages, and also serve as an “adiabatic signature” of the chosen cooling schedule. In this paper we demonstrate the method on the 50-atom dileucine peptide, showing that equilibrium distr...

Some recent successful techniques to solve multiobjective optimisation problems are based on variants of evolutionary algorithms and use recombination and self-adaptation to evolve the population. We present an approach that incorporates a population of solutions into a hybrid metaheuristic with no recombination. The population is evolved using self-adaptation, a mutation operator and an inform...

We propose a method for determining the starting temperature in two-stage simulated annealing systems utilizing traditional homogeneous temperature schedules. While most previous work in this area has focused on ad hoc experimentally derived constant starting temperatures for the low-temperature annealing phase, this investigation presents a method for generalized starting temperature determina...

In this study, segmentation of medical images using a fuzzy artificial bee colony algorithm with a cooling schedule is created. In this study, we embed ed fuzzy inference strategy into the artificial bee colony system to construct a segmentation system named Fuzzy Artificial Bee Colony System (FABCS). A conventional FCM algorithm did not utilize the spatial information in the image. We set a lo...

Standard office building control systems operate the heating, ventilating, and air conditioning on a fixed schedule, based upon anticipated occupancy and use of the building. This study introduces and illustrates a method for integrated building heating, cooling and ventilation control to reduce energy consumption and maintain indoor temperature set points, based on the prediction of occupant b...

Proper temperature control is essential in minimizing Clostridium perfringens germination, growth, and toxin production. The U.S. Department of Agriculture Food Safety and Inspection Service offers two options for the cooling of meat products: follow a standard time-temperature schedule or validate that alternative cooling regimes result in no more than a 1-log CFU/g increase of C. perfringens ...