In this paper, a multi-objective particle swarm optimization algorithm with a new global best (gbest) selection strategy is proposed for dealing with multi-objective problems. In multi-objective particle swarm optimization, gbest plays an important role in convergence and diversity of solutions. A K-means algorithm and proportional distribution based approach is used to select gbest from the ar...

Vector evaluated particle swarm optimization (VEPSO) is a multi-swarm variant of the traditional particle swarm optimization (PSO) algorithm applied to multi-objective problems (MOPs). Each subobjective is allocated a single sub-swarm and knowledge transfer strategies (KTSs) are used to pass information between swarms. The original VEPSO used a ring KTS, and while VEPSO has shown to be successf...

The paper is aimed to the multi-objective optimization of wire multi-band antennas. Antennas are numerically modeled using time-domain integral-equation method. That way, the designed antennas can be characterized in a wide band of frequencies within a single run of the analysis. Antennas are optimized to reach the prescribed matching, to exhibit the omni-directional constant gain and to have t...

A Mobile Ad hoc Network (MANET) is a group of low-power consumption wireless mobile nodes that configure network without the assistance any existing infrastructure/centralized organization. The primary aim MANETs to extend flexibility into self-directed, mobile, and domain, in which cluster autonomous forms MANET routing system. An Intrusion Detection System (IDS) tool examines for malicious be...

this paper proposes the exchange market algorithm (ema) to solve the combined economic and emission dispatch (ceed) problems in thermal power plants. the ema is a new, robust and efficient algorithm to exploit the global optimum point in optimization problems. existence of two seeking operators in ema provides a high ability in exploiting global optimum point. in order to show the capabilities ...