نتایج جستجو برای: binary imperialistic competition algorithm
تعداد نتایج: 930448 فیلتر نتایج به سال:
The importance of economics for owning hybrid green power systems (HGPS) warrants development of optimization methodologies with more effective search capabilities for determination of global minimum for costs. The objective of this study is to present several newly developed enhancements for imperialistic competitive algorithm (ICA) for design optimization of an autonomous HGPS with considerat...
In this research paper, the author analyzes actions taken on behalf of Russian government in temporarily occupied territories Ukraine. particular, attention is paid to measures such as pseudo-referendums held at end September 2022 east and south-east Ukraine, Kremlin’s propaganda, policy occupiers related establishment pro-Russian administrations, control local population, deportation Ukrainian...
Flow shop scheduling problem with missing operations is studied in this paper. Missing operations assumption refers to the fact that at least one job does not visit one machine in the production process. A mixed-binary integer programming model has been presented for this problem to minimize the makespan. The genetic algorithm (GA) and tabu search (TS) are used to deal with the optimization...
blind source separation technique separates mixed signals blindly without any information on the mixing system. in this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. in these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. in order to evalu...
Economics and psychology are both sciences of human behaviour. This paper gives a survey of their interaction. First, the changing relationship between the two sciences is discussed: while economics was once imperialistic, it has become a science inspired by psychological insights. In order to illustrate this, recent developments and evidence for three major areas are presented: bounded rationa...
clustering is an effective approach for managing nodes in wireless sensor network (wsn). a new method of clustering mechanism with using binary gravitational search algorithm (bgsa) in wsn, is proposed in this paper to improve the energy consumption of the sensor nodes.reducing the energy consumption of sensors in wsnsis the objective of this paper that is through selecting thesub optimum senso...
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