In this paper, a genetic algorithm is presented for an identical parallel-machine scheduling problem with family setup time that minimizes the total weighted flow time ( ). No set-up is necessary between jobs belonging to the same family. A set-up must be scheduled when switching from the processing of family i jobs to those of another family j, i  j, the duration of this set-up being the sequ...

brain-computer interface systems are a new mode of communication which provides a new path between brain and its surrounding by processing eeg signals measured in different mental states.  therefore, choosing suitable features is demanded for a good bci communication. in this regard, one of the points to be considered is feature vector dimensionality. we present a method of feature reduction us...

this paper presents a new bridge management system (j-bms). it is integrated with a concrete bridge rating expert system that can be used to evaluate the serviceability of existing concrete bridges. the proposed j-bms not only evaluates the performance of bridges, but also offers a rehabilitation strategy based on a combination of maintenance cost minimization and quality maximization. in this ...

resource leveling and allocation are two basic categories for project management. the objective of resource allocation is to schedule activities so that a particular resource does not exceed a specific limit in any given project time period, while holding the project duration to a minimum. the resource leveling problem arises when there are sufficient resources available and it is necessary to ...

determining the optimal location of wells with the aid of an automated search algorithm is a significant and difficult step in the reservoir development process. it is a computationally intensive task due to the large number of simulation runs required. therefore,the key issue to such automatic optimization is development of algorithms that can find acceptable solutions with a minimum number of...

multiple traveling salesman problem (mtsp) is one of the most popular operation research problem and is known as combinatorial optimization problems. mtsp is an extension version of the famous and widely used problem named traveling salesman problem (tsp). because of its benefices in various domains, many researchers have tried to solve that, and many methods have proposed so far. mtsp is a np-...

clustering is the process of dividing a set of input data into a number of subgroups. the members of each subgroup are similar to each other but different from members of other subgroups. the genetic algorithm has enjoyed many applications in clustering data. one of these applications is the clustering of images. the problem with the earlier methods used in clustering images was in selecting in...

In this paper, effect of the islands number variation in restoration process is investigated and a graph based method for determination of optimum islands boundaries is presented. Also, the effect of number and location of black-start units on the restoration process is evaluated. In optimization process, objective function is minimizing Energy Not Supplied (ENS) and constraints are voltage mar...