نتایج جستجو برای: continuous and binary genetic algorithm
تعداد نتایج: 17019497 فیلتر نتایج به سال:
Solubility prediction of high molecular weight molecules in high-pressure solvents is an interesting field of research. Sometimes the solubility data are not available for several components due to lacking of valid equipments. Therefore, an accurate prediction technique can help the researchers. According to the literature, the simple Equations of State (EoSs) such as Soave-Redlich-Kwong (SRK),...
Wireless sensor Network (WSN) now finds a plethora of sectors in which to collect data and monitor both physical environmental functions. The most significant challenge we confront WSN is energy usage life span. delivered nodes through the battery adds complexity. demand for energy-boosting approaches growing. This study aims provide routing protocol that efficient. method aids lowering consump...
this thesis is a study on insurance fraud in iran automobile insurance industry and explores the usage of expert linkage between un-supervised clustering and analytical hierarchy process(ahp), and renders the findings from applying these algorithms for automobile insurance claim fraud detection. the expert linkage determination objective function plan provides us with a way to determine whi...
The simultaneous scheduling of energy and primary reserve is one of most important recent researches. However, in these researches, operation constraints and transmission limitations have been neglected. So it is possible that the power flow results be infeasible since some real constraints are not considered. In this paper congestion constraint in transmission lines, technical capabilities and...
This paper proposes a new methodology for the optimal allocation and sizing of Embedded Generation (EG) employing Real Coded Genetic Algorithm (RCGA) to minimize the total power losses and to improve voltage profiles in the radial distribution networks. RCGA is a method that uses continuous floating numbers as representation which is different from conventional binary numbers. The RCGA is used ...
Particle swarm optimization is an efficient population based algorithm used to solve real valued and nonlinear continuous optimization problems. To resolve binary optimization problems with PSO, binary particle swarm optimization (BPSO) has been developed. In this paper, optimum design of plates using BPSO is presented. The objective function aims at finding the optimum weight of plates with th...
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