نتایج جستجو برای: invasive weed optimization algorithm
تعداد نتایج: 1114634 فیلتر نتایج به سال:
Recently, many studies are carried out with inspirations from ecological phenomena for developing optimization techniques. The new algorithm that is motivated by a common phenomenon in agriculture is colonization of invasive weeds. In this paper, a modified invasive weed optimization (IWO) algorithm is presented for optimization of multiobjective flexible job shop scheduling problems (FJSSPs) w...
Among the major sources of energy supply systems, hydroelectric power plants are more common. Energy supply during peak hours and less environmental issues are some of the most important advantages of hydroelectric power plants. In this study, designing parameters to supply maximum amount of energy was determined by using the simulation-optimization perspective and combination of IWO-WEAP model...
In the present study, a two-step approach for damage prognosis in long trusses is suggested in which the first step deals with locating probable damages by wavelet transform (WT) and static deflection derived from modal data with the intention of declining the subsequent inverse problem variables. Then, in the second step, optimization based model updating method using Artificial Bee Colony (AB...
In this paper, a novel hybrid Invasive Weed Optimization (IWO) and Cuckoo Search (CS) algorithm (IWO/CS) is presented for phase-only pattern synthesis of large array antenna. The IWO/CS embeds the Levy flight CS into IWO as global guide, thereby enhancing search ability algorithm. At same time, in order to avoid trapping local optimal solution, mutation operator introduced enhance Finally, comp...
libraries, and research funders in the common goal of maximizing access to critical research. Invasive Species Control Optimization as a Dynamic Spatial Process: An Application to Buffelgrass (Pennisetum ciliare) in Arizona Author(s): İ. Esra Büyüktahtakin , Zhuo Feng , Aaryn D. Olsson , George Frisvold and Ferenc Szidarovszky Source: Invasive Plant Science and Management, 7(1):132-146. 2014. P...
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