Coverage optimization is one of the basic problems in wireless sensor networks. reflects service quality provided by Swarm intelligence algorithm an method inspired natural organisms. Node coverage also problem. can solve problem Therefore, this paper focuses on application swarm networks, and proposes a strategy based algorithm: three-dimensional networks equilibrium algorithm. In algorithm, p...

The beetle antennae search (BAS) algorithm is an outstanding representative of swarm intelligence algorithms. However, the BAS still suffers from deficiency not being able to handle high-dimensional variables. A quantum-based optimization (QBSO) proposed herein address this deficiency. In order maintain population diversity and improve avoidance falling into local optimal solutions, a novel qua...

Particle Swarm Optimization (PSO) has been widely used to solve various types of optimization problems. An efficient algorithm must have symmetry information between participating entities. Enhancing efficiency relative the symmetric concept is a critical challenge in field security. PSO also becomes trapped into local optima similarly other nature-inspired algorithms. The literature depicts th...

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...