نتایج جستجو برای: non linear genetic algorithm
تعداد نتایج: 2793938 فیلتر نتایج به سال:
in this study, a two-objective mixed-integer linear programming model (milp) for multi-product re-entrant flow shop scheduling problem has been designed. as a result, two objectives are considered. one of them is maximization of the production rate and the other is the minimization of processing time. the system has m stations and can process several products in a moment. the re-entrant flow sho...
abstract according to increase in electricity consumption in one hand and power systemsreliability importance in another , fault location detection techniqueshave beenrecentlytaken to consideration. an algorithm based on collected data from both transmission line endsproposed in this thesis. in order to reducecapacitance effects of transmission line, distributed parametersof transmission line...
design, simulation and optimal selection of cosine-linear frequency modulation waveform (cnlfm) based on correlated ambiguity function (af) method for the purpose of synthetic aperture radar (sar) is done in this article. the selected optimum cnlfm waveform in contribution with other waveforms are applied directly into a sar image formation algorithm (ifa) and their quality effects performance ...
this paper studies the multi-stage supply chain system (msscm) controlled by the kanban mechanism. in the kanban system, decision making is based on the number of kanbans as well as batch sizes. a kanban mechanism is employed to assist in linking different production processes in a supply chain system in order to implement the scope of just-in-time (jit) philosophy. for a msscm, a mixed-integer...
Non-linear optimization of frames with variable section stiffness of columns using Genetic Algorithm
The growing pace of cancer has encouraged researchers to deliberate several aspects of this malignant disease. Genetic-induced nature of cancer, heighten the importance of studying intra-cell components. This paper has been carried out with the aim of making some specific and unique features clear from those long DNA sequences by employing well-established DNA sequence analysis techniques. The ...
In this work, a Genetic Algorithm boosted Least Square Support Vector Machine model by a set of linear equations instead of a quadratic program, which is improved version of Support Vector Machine model, was used for estimation of 98 pure compounds second virial coefficient. Compounds were classified to the different groups. Finest parameters were obtained by Genetic Algorithm method ...
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