نتایج جستجو برای: the modified particle swarm optimization mpso
تعداد نتایج: 16191741 فیلتر نتایج به سال:
Multi-class miner is well recognized method for stream data classification. For the process of multi-class miner evaluation of new feature during classification is major problem. The problem of feature evaluation decreases the performance of multi-class miner (MCM). For the improvement of multi-class miner particle of swarm optimization technique is used. Particle of swarm optimization controls...
A modified variant of gray wolf optimization algorithm, namely, mean gray wolf optimization algorithm has been developed by modifying the position update (encircling behavior) equations of gray wolf optimization algorithm. The proposed variant has been tested on 23 standard benchmark well-known test functions (unimodal, multimodal, and fixed-dimension multimodal), and the performance of modifie...
Objectives: To improve the reduction of photovoltaic system\'s power output under various resistance load. Additionally, partial shaded conditions (PSCs) lead to several peaks on (PV) curves, which decrease conventional techniques\' efficiency and in these (PSCs), standard equations might not be implemented entirely, therefore, mathematical model PV array is compulsory modify re-establish as we...
This paper presents two new Particle swarm optimization methods to solve optimal power flow (OPF) in power system incorporating flexible AC transmission systems (FACTS). Two types of FACTS devices, thyristor-controlled series capacitor (TCSC) and thyristor controlled phase shifting (TCPS), are considered. In this paper, the problems of OPF with FACTS are solved by using particle swarm optimizat...
We investigate the performance of the recently proposed Unified Particle Swarm Optimization method on constrained engineering optimization problems. For this purpose, a penalty function approach is employed and the algorithm is modified to preserve feasibility of the encountered solutions. The algorithm is illustrated on four well–known engineering problems with promising results. Comparisons w...
This paper presents the implementation for first time of a Multi-Particle Swarm Optimization (MPSO) algorithm in tuning PID controller Power Factor Correction (PFC), applied to 100W AC-DC boost converter. MPSO navigates search space where each dimension corresponds constants (Proportional, Integral, Derivative and Filter), prioritizing communication over exploration algorithm. The parameters ar...
in this paper an approach based on evolutionary algorithms to find pareto optimal pair of state and control for multi-objective optimal control problems (moocp)'s is introduced. in this approach, first a discretized form of the time-control space is considered and then, a piecewise linear control and a piecewise linear trajectory are obtained from the discretized time-control space using ...
In bakery production, to perform a processing task there might be multiple alternative machines that have the same functionalities. Finding an efficient production schedule is challenging due significant nondeterministic polynomial time (NP)-hardness of problem when number products, tasks, and are higher. addition, many tasks performed manually as small medium-size bakeries not fully automated....
Modern ciphers are one of the more difficult to break cipher systems because these high security, speed, non - propagation error and difficulty in breaking it. One most important weaknesses stream is a matching or correlation between output key-stream shift registers. This work considers new investigation methods for cryptanalysis using ciphertext only attack depending on Particle Swarm Optimiz...
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