نتایج جستجو برای: modified hybrid genetic algorithm
تعداد نتایج: 1676354 فیلتر نتایج به سال:
In this dissertation, hybrid tabu search and simulated annealing (TS/SA) approach is proposed to find the optimal placement of multi-type FACTS devices to simultaneously minimize the total generator fuel cost and violation function. The problem is decomposed into the multi-objective optimal placement (MOOP) of multi-type FACTS devices subproblem that is searched by the hybrid TS/SA approach and...
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 stochastic cell formation problem is studied using queuing theory framework and considering reliability. Since cell formation problem is NP-Hard, two algorithms based on genetic and modified particle swarm optimization (MPSO) algorithms are developed to solve the problem. For generating initial solutions in these algorithms, a new heuristic method is developed, which always cre...
0360-8352/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.cie.2008.09.004 q This manuscript was processed by Area Editor Ma * Corresponding author. Tel./fax: +52 653 5356168 E-mail address: [email protected] (V. Yaurima This paper presents a genetic algorithm for an important production scheduling problem. Since the problem is NP-hard, we focus on suboptimal scheduling solutions for the ...
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...
Introduction: Nowadays virtual colonoscopy has become a reliable and efficient method of detecting primary stages of colon cancer such as polyp detection. One of the most important and crucial stages of virtual colonoscopy is colon segmentation because an incorrect segmentation may lead to a misdiagnosis. Materials and Methods: In this work, a hybrid method based on Geometric Deformable Models...
Shortest path problem has emerged to be one of the significant areas research and there are various algorithms involved in it. One successful optimization techniques is genetic algorithm (GA). This paper proposes an efficient hybrid where initially we use a map reduction technique graph then find shortest using conventional with improved crossover operator. On comparing this other algorithms, i...
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...
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