Determining a reasonable main cable curve is the foundation of suspension bridge design, and accuracy efficiency curve-finding problem are key to design bridge. To accurately obtain completed cable, force equations, which nonlinear need be solved. In this study, improved particle swarm optimization (IPSO) algorithm with inertia weight presented solve these equations. Then, taking double-tower t...

In order to solve the problem of quantitative division multisubject quality responsibility in construction project disputes, this article proposes a model projects based on an improved particle swarm optimization (IPSO). First, set classification guidelines for risk behaviors theory organizational behavior. Through these, interconnections between different types and defects were explored. Follo...

This paper presents a new multi-objective optimization algorithm in which multi-swarm cooperative strategy is incorporated into particle swarm optimization algorithm, called multi-swarm cooperative multi-objective particle swarm optimizer (MC-MOPSO). This algorithm consists of multiple slave swarms and one master swarm. Each slave swarm is designed to optimize one objective function of the mult...

As an important part of data management, network traffic evaluation and prediction can not only find anomalies but also judge the future trends network. To predict more accurately, a novel hybrid model, integrating Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) long short-term memory neural (LSTM) optimized by improved particle swarm optimization (IPSO) algorithm, ...

So far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is Particle Swarm Optimization (PSO). Prior some efforts by applying fuzzy logic for improving defects of PSO such as trapping in local optimums and early convergence has been done. Moreover to overcome the problem of i...

This aim of this paper is to provide the immune particle swarm optimization (IPSO) algorithm for solving single-leader–multi-follower game (SLMFG). Through cooperating with (PSO) and an memory mechanism, IPSO designed. Furthermore, we define efficient Nash equilibrium from perspective mathematical economics, which maximizes social welfare further refines number equilibria. In end, numerical exp...

global optimization methods play an important role to solve many real-world problems. flower pollination algorithm (fp) is a new nature-inspired algorithm, based on the characteristics of flowering plants. in this paper, a new hybrid optimization method called hybrid flower pollination algorithm (fppso) is proposed. the method combines the standard flower pollination algorithm (fp) with the par...

Recently, Plug-in Hybrid Electric Vehicles (PHEVs) have gathered a lot of attention by integrating an electric motor with Internal Combustion Engine (ICE) to minimize fuel consumption and greenhouse gas emissions. The On-Board Chargers (OBCs) are selected in this research because they limited dimensions mass, also consume low amounts power. Equivalent Series Resistance (ESR) filter capacitor is...

The power supply of remote sites and applications at minimal cost and with low emissions is an important issue when discussing future energy concepts. This paper presents modeling and optimization of a photovoltaic (PV)/wind/diesel system with batteries storage for electrification to an off-grid remote area located in Rafsanjan, Iran. For this location, different hybrid systems are studied and ...