This paper presents a statistical significance analysis of a modified version of the Particle Swarm Optimization (PSO) on groups of simulated robots performing a distributed exploration task, denoted as R-DPSO (Robotic DPSO). This work aims to evaluate this novel exploration strategy studying the performance of the algorithm under communication constraints while increasing the population of rob...

This paper presents a new model updating approach for structural damage localization and quantification. Based on the Modal Assurance Criterion (MAC), a new damage-sensitive cost function is introduced by employing the main diagonal and anti-diagonal members of the calculated Generalized Flexibility Matrix (GFM) for the monitored structure and its analytical model. Then, ...

For improving the equalization performance of higher-order QAM signals, orthogonal Wavelet transform dynamic Weighted Multi-Modulus blind equalization Algorithm based on the Dynamic Particle Swarm Optimization(DPSO-WWMMA) is proposed. In this proposed algorithm, dynamic particle swarm optimization algorithm and orthogonal wavelet transform are introduced into dynamic Weighted Multi-Modulus blin...

Transmission task static allocation (TTSA) is one of the most important issues in automatic management radio and television stations. Different transmission tasks are allocated to suitable equipment achieve overall optimal effect. This study proposes a TTSA mathematical model for solving multiple intelligent algorithms, with goal achieving highest comprehensive evaluation value, conducts compar...

During the evacuation process, the most challenging task is to move people to safer locations. As time is the decision factor in the evacuation process, urgent and firmly decisions are required. An evacuation plan should be efficiently constructed by taking into account the routes of vehicle. This paper explored the feasibility of using a discrete particle swarm optimization (DPSO) algorithm to...

This paper proposes a novel method to improve the efficiency of a swarm of robots searching in an unknown environment. The approach focuses on the process of feeding and individual coordination characteristics inspired by the foraging behavior in nature. A predatory strategy was used for searching; hence, this hybrid approach integrated a random search technique with a dynamic particle swarm op...

Placing a certain number of sinks at appropriate locations in WSNs reduces the number of hops between a sensor and its sink resulting in less exchanged messages between nodes and consequently less energy consumption. Since finding the optimal number of the sinks to be added and their locations is an NP Hard problem, we propose in this paper, a topological level solution that uses a meta-heurist...

Materials acquisition is one of the critical challenges faced by academic libraries. This paper presents an integer programming model of the studied problem by considering how to select materials in order to maximize the average preference and the budget execution rate under some practical restrictions including departmental budget, limitation of the number of materials in each category and eac...

This paper presents a mathematical model and a methodology to analyze the losses in transmission expansion planning (TEP) under uncertainty in demand. The methodology is based on discrete particle swarm optimization (DPSO). DPSO is a useful and powerful stochastic evolutionary algorithm to solve the large-scale, discrete and nonlinear optimization problems like TEP. The effectiveness of the pro...

The top-k influential individuals in a social network under specific topic play an important role reality. Identifying nodes of is still open and deeply-felt problem. In recent years, some researchers adopt the swarm intelligence algorithm to solve such problems obtain competitive results. There are two main models for intelligence, namely Ant Colony System (ACS) Particle Swarm Optimization (PS...