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...

The Cascaded Short-Term Hydrothermal Scheduling (CSTHTS) problem is a highly non-linear, multi-modal, non-convex, and NP-hard optimization that has been solved by conventional metaheuristic algorithms in the past. As CSTHTS falls under category of applied operational research, therefore, work still on-going to find new variants existing would better approximate optimal global solution shorter c...

-Particle Swarm Optimization (PSO) has received increased attention in the evolutionary computation fields recently. In the paper, we proposed Adaptive constriction factor for Location-related Particle Swarm (ALPS) that is shown to be superior when compared with the existing PSO algorithm. We adapt a technique of overcoming complex problems with PSO. This is accomplished by using the ratio of t...

The progress of construction and safe production in mining, water conservancy, tunnels, other types deep underground engineering is seriously affected by rockburst disasters. This makes it essential to accurately predict intensity. In this paper, the ratio maximum tangential stress surrounding rock uniaxial compressive strength (σθ/σc), tensile (σc/σt), elastic energy index (Wet) were chosen as...

In this article, multiple-product PVRP with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. A mathematical formulation was provided for this problem. Each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. To solve the problem, two meta-heuristic methods...

The concurrent planning of multiple Distributed Generations (DGs), consisting solar-DG and DSTATCOM with reconfiguration in IEEE 33 69 bus Radial Distribution Network (RDN), using Adaptive Particle Swarm Optimization (APSO) hybrid Grey Wolf-Particle (GWO-PSO), is reported this paper. For planning, a novel objective-based fitness-function (MOFF) proposed based on various performance parameters t...

In this paper, we present a novel hybrid approach combining particle swarm optimization (PSO) and adaptive constraint-handling technique (ACT) for solving constrained numerical and engineering optimization problems. The proposed hybrid approach simultaneously adopts particle swarm optimizer and hybrid mutation operators to generate the offspring population. Additionally, the adaptive constraint...

Location problem of multi-distribution center is a kind of NP hard problem. To solve such problems, this paper proposes a chaos adaptive mutation particle swarm optimization algorithm. The algorithm uses the ergodic property of chaos to initialize the particle swarm to enhance the diversity of the population, according to the variance of population fitness to adjust the probability of mutation,...