In this paper, we consider portfolio selection problem in which security returns are regarded as fuzzy variables rather than random variables. We first introduce a concept of absolute deviation for fuzzy variables and prove some useful properties, which imply that absolute deviation may be used to measure risk well. Then we propose two mean-absolute deviation models by defining risk as abs...

This paper presents an energy management strategy to supply residential load by hybrid fuel cell power plant (FCPP). Economical fuel cell (FC) model includes thermal load, local electrical load, operational cost, startup cost and different tariffs on electricity during the day hour is discussed.  Several Strategies have been presented for supplying residential load (electrical and thermal loads...

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...

Tuned mass dampers (TMDs) systems are one of the vibration controlled devices used to reduce the response of buildings subject to lateral loadings such as wind and earthquake loadings. Although TMDs system has received much attention from researchers due to their simplicity, the optimization of properties and placement of TMDs is a challenging task. Most research studies consider optimization o...

In this paper a hybrid genetic and harmony search algorithm is proposed to find the possible best sequence of operation solutions for hybrid flow shop scheduling problems. In this work the problem is considered with respect to the objective of minimization of makespan. Hybrid flow shop scheduling problem is considered for the sequencing of jobs in a hybrid flow shop with two or more identical m...

vibrio cholerae o1 are classified into two biotypes, classical and el tor based on susceptibility to bacteriophages and some biochemical properties, each encoding a biotype-specific genetic determinants. before 1961, most epidemics had been caused by the classical biotype. however, with the passage of time, the classical biotype missed from the scenario and the el tor emerged as the major bioty...

Short term prediction of traffic flow is one of the most essential elements of all proactive traffic control systems. Although various methodologies have been applied to forecast traffic parameters, several researchers have showed that compared with the individual methods, hybrid methods provide more accurate results . These results made the hybrid tools and approaches a more common method for ...

Scope and Purpose|Airline crew scheduling is a very visible and economically signiicant problem. Because of its widespread use, economic signiicance, and diiculty of solution, the problem has attracted the attention of the operations research community for over twenty-ve years. The purpose of this paper was to develop a genetic algorithm for the airline crew scheduling problem, and to compare i...

In this paper, first, an initial feature vector for vocal fold pathology diagnosis is proposed. Then, for optimizing the initial feature vector, a genetic algorithm is proposed. Some experiments are carried out for evaluating and comparing the classification accuracies which are obtained by the use of the different classifiers (ensemble of decision tree, discriminant analysis and K-nearest neig...

The traveling salesman problem (TSP) is the problem of finding the shortest tour through all the nodes that a salesman has to visit. The TSP is probably the most famous and extensively studied problem in the field of combinatorial optimization. Because this problem is an NP-hard problem, practical large-scale instances cannot be solved by exact algorithms within acceptable computational times. ...