It is a long time that the Simulated Annealing (SA) procedure has been introduced as a model-free optimization for solving NP-hard problems. Improvements from the standard SA in the recent decade mostly concentrate on combining its original algorithm with some heuristic methods. These modifications are rarely happened to the initial condition selection methods from which the annealing schedules...

Multi Objective Optimal Power Flow including FACTS technology is one of the most important issues in power system planning and control. In this paper Artificial Intelligence techniques are used to solve the Multi Objective Optimum Power Flow incorporating FACTS devices with valve point effect. In this paper two objectives loss minimization and minimum voltage deviation are taken into considerat...

A parallel simulated annealing algorithm to solve the vehicle routing problem with time windows is presented. The objective is to find the best possible solutions to some wellknown instances of the problem by using parallelism. The empirical evidence indicate that parallel simulated annealing can be applied with success to bicriterion optimization problems.

in this paper, a new approach to overlapping operations in job shop scheduling is presented. in many job shops, a customer demand can be met in more than one way for each job, where demand determines the quantity of each finished job ordered by a customer. in each job, embedded operations can be performed due to overlapping considerations in which each operation may be overlapped with the other...

We consider in this paper the uplink slot assignment problem in a multi-spot geostationary satellite. Radio interference impose constraints on the slots that can simultaneously be assigned in different cells that have the same frequency. The problem is shown to be an NP-complete one, which motivates us to search for a heuristic solution approach. We describe here a heuristic solution based on s...

this study aims to deal with a more realistic combined problem of project scheduling and material ordering. the goal is to minimize the total material holding and ordering costs by determining the starting time of activities along with material ordering schedules subject to some constraints. the problem is first mathematically modelled. then a hybrid simulated annealing and genetic algorithm is...