نتایج جستجو برای: chaotic optimization algorithm
تعداد نتایج: 986134 فیلتر نتایج به سال:
Abstract This study proposes a novel hybrid metaheuristic optimization algorithm named chaotic Runge Kutta (CRUN). In this study, 10 diverse maps are being incorporated with the base (RUN) to improve their performance. An imperative analysis was conducted check CRUN’s convergence proficiency, sustainability of critical constraints, and effectiveness. The proposed tested on six well-known design...
Underwater Wireless Sensor Network Deployment Based on Chaotic Particle Swarm Optimization Algorithm
This paper solves the internet of things (IoT) security issues by introducing a chaotic whale crow (CWC) optimization, which is integration optimization algorithm (CWOA) in search (CSA). The framework operates on two crucial aspects: one to select secure nodes, and other implement routing using selected trusted nodes. First, selection nodes performed based trust factors like direct, indirect, f...
To solve the problems that whale optimization algorithm is easy to fall into local and slow convergence speed, improved proposed. Firstly, uses Skew Tent chaotic map initialize population, improve diversity of original population make individual position distribution whales more uniform; Secondly, nonlinear factor based on inverse incomplete ? function used balance global exploration developmen...
Traditional classification methods based on asymptotic theory for multi-spectral remote sensing images need the infinite training samples, which is impossible to be satisfied. And it has massive data information. Support vector classification(SVC) based on small samples overcomes above problems. However, the parameters determining its structure need to be optimized. For that, three optimization...
This paper studies wireless sensor networks node deployment problem and proposes intelligent single particle optimizer based wireless sensor networks adaptive coverage. According to the probability model measure characteristic of wireless sensor nodes, the method adaptively determines the optimal deployment of sensor nodes using intelligent single particle optimizer, achieving sensor node based...
Parameter estimation for fractional-order chaotic systems has been an interesting and important issue in theory and various fields of application. In this paper, fractional orders, as well as systematic parameters of fractional-order chaotic systems are considered by treating fractional orders as additional parameters. The parameter estimation is transformed into a multidimensional optimization...
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