نتایج جستجو برای Salp Swarm Algorithm (SSA)

تعداد نتایج: 615175  

A new optimization method is proposed in this paper for finding the firing angles in multi-level voltage source inverters to eliminate low-order selective harmonics and reduce total harmonic distortion (THD) value of the output voltage. For thid end, Fourier series is used for calculating objective function and selecting specific harmonics. Regarding the nature and complexity of the employed no...

The design of three-phase induction motors is a challenge in electrical engineering. Therefore, new design techniques are continuously provided. Since the design of the induction motors is carried out for different purposes, it is difficult to find a method that can addresses all the targets. Nowadays, the normal methods used to solve multi-objective problems are the optimization strategies. In...

In order to solve the problem of voltage drop and voltage imbalance in the distribution systems, the injection of reactive power by multiple static compensators is used. The distributed generation such as photovoltaic systems could play a role of the static compensators by producing reactive power. In this paper, the integral to droop line algorithm is used to control the reactive power in busb...

2001
Philippe Laval,

The high-level of abstraction, concurrency, and real-time features of Ada 95 are used to closely simulate the development of salps swarms (salps are marine macroplanktonic animals). Artificial creatures which behave like real salps (they move in space, feed, grow, metabolize, and reproduce by alternating sexual and asexual generations) are simulated in scaled down monotonous real-time. Each cre...

Journal: :IJISTA 2016
Changying Wang, Min Lin, Yiwen Zhong, Hui Zhang,

Simulated annealing (SA) algorithm is a popular intelligent optimisation algorithm, but its efficiency is unsatisfactory. To improve its efficiency, this paper presents a swarm SA (SSA) algorithm by exploiting the learned knowledge from searching history. In SSA, a swarm of individuals run SA algorithm collaboratively. Inspired by ant colony optimisation (ACO) algorithm, SSA stores knowledge in...

2012
Daniel Rossato de Oliveira, Rafael S. Parpinelli, Heitor S. Lopes,

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...

2015
Micael S. Couceiro, R. P. Rocha, Fernando M. L. Martins,

The Robotic Darwinian Particle Swarm Optimization (RDPSO) previously proposed is an evolutionary algorithm that benefits from a natural selection mechanism designed to solve complex tasks (e.g., search and rescue). Yet, the stochasticity inherent to this algorithm makes it hard to predict teams’ performance under specific situations and, therefore, almost impossible to synthesize the most right...

The wind turbine has grown out to be one of the most common Renewable Energy Sources (RES) around the world in recent years. This study was intended to position the Wind Turbine (WT) on a wind farm to achieve the highest performance possible in Electric Distribution Network (EDN). In this paper a new optimization algorithm namely Salp Swarm Algorithm (SSA) is applied to solve the problem of opt...

L. J. Li, Y. Y. Wang ,

This article introduces two swarm intelligent algorithms, a group search optimizer (GSO) and an artificial fish swarm algorithm (AFSA). A single intelligent algorithm always has both merits in its specific formulation and deficiencies due to its inherent limitations. Therefore, we propose a mixture of these algorithms to create a new hybrid optimization algorithm known as the group search-artif...

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