نتایج جستجو برای: group search optimization gso
تعداد نتایج: 1529865 فیلتر نتایج به سال:
In order to overcome the basic glowworm swarm optimization (GSO) algorithm in the high dimension space function optimization effect is poor defects. This paper, we introduce the idea of the traditional complex method, with the complex method the worst part of the glowworm guidance for reflection be good glowworm swarm, so as to continuously make the worst glowworm swarm become the better glowwo...
one of the mostly used enhanced oil recovery methods is the injection of water or gas under pressure to maintain or reverse the declining pressure in a reservoir. several parameters should be optimized in a fluid injection process. the usual optimizing methods evaluate several scenarios to find the best solution. since it is required to run the reservoir simulator hundreds of times, the process...
In our earlier work, we present a novel formal method for the semiautomatic verification of specifications and for describing web service composition components by using abstract concepts. After verification, the instantiations of components were selected to satisfy the complex service performance constraints. However, selecting an optimal instantiation, which comprises different candidate serv...
Abstract—This paper proposes new adaptive tree search detection with variable path expansion based on Gram-Schmidt (GS) orthogonalization (GSO) in MIMO systems. We adopt the GSO procedure to reduce the channel matrix instead of the QR-decomposition in the conventional QRM-MLD. This detection scheme combined the GSO reduction with the M-algorithm, what we call GSM-MLD, can achieve near-ML perf...
Diagnosing the cardiovascular disease is one of biggest medical difficulties in recent years. Coronary (CHD) a kind heart and blood vascular disease. Predicting this sort cardiac illness leads to more precise decisions for disorders. Implementing Grid Search Optimization (GSO) machine training models therefore useful way forecast sickness as soon possible. The state-of-the-art work tuning hyper...
Evolutionary Computation (EC) is a research area of metaheuristics mainly applied to real-world optimization problems. EC is inspired by biological mechanisms such as reproduction, mutation, recombination, natural selection and collective animal behavior. Two branches of EC can be highlighted: Evolutionary Algorithms (EA) comprising Genetic Algorithms (Goldberg, 1989), Genetic Programming (Koza...
We study the optimal design of graph filters (GFs) to implement arbitrary linear transformations between graph signals. GFs can be represented by matrix polynomials of the graph-shift operator (GSO). Since this operator captures the local structure of the graph, GFs naturally give rise to distributed operators. In most setups the GSO is given, so that GF design consists fundamentally in choosin...
cost optimization of the reinforced concrete cantilever soil retaining wall of a given height satisfying some structural and geotechnical design constraints is performed utilizing harmony search and improved harmony search algorithms. the objective function considered is the cost of the structure, and design is based on aci 318-05. this function is minimized subjected to design constraints. a n...
The usage of edible oils for alkyd resin synthesis has lately been of great concern because they can alter the food chain. Research is on the forefront on the oils that are considerably available and do not compete with food sources. Thus, the viability of preparing alkyd resin from inedible, non-drying gmelina seed oil (GSO) was investigated. The physico-chemical properties (viscosity, iod...
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