To obtain high-quality Pareto optimal solutions and to enhance the searchability of biogeography-based optimization (BBO) algorithm, we present an improved BBO algorithm based on hybrid migration a dual-mode mutation strategy (HDBBO). We first adopted more scientific nonlinear hyperbolic tangent mobility model instead conventional linear which can solution closer global minimum function. develo...

Swarm intelligence (SI) is an Artificial Intelligence technique based on the study of collective behaviour in decentralized, selforganizing systems. It enables relatively simple agents to collectively perform complex tasks, which could not be performed by individual agents separately. Particles can interact either directly or indirectly (through the environment). The key to maintain global, sel...

Virtual machine placement (VMP) is an important issue in selecting the most suitable set of physical hosts for a set of virtual machines in cloud computing environment. VMP problem consists of two sub problems: incremental placement (VMiP) problem and consolidated placement (VMcP) problem. The challenge in VMcP problem is how to find optimal solution effectively and efficiently as well as it is...

Economic dispatch (ED) is one of the most important optimization problems in a power system. The objective of ED is sharing the power demand among the online generators while keeping the minimum cost of generation as a constraint. The aim of this paper is to operate an electric power system as economically as possible within its security limits. This paper proposes the following 2 new particle ...

The main part of the magnetic fluxgate sensor is the magnetic core, the hysteresis characteristic of which affects the performance of the sensor. When the fluxgate sensors are modelled for design purposes, an accurate model of hysteresis characteristic of the cores is necessary to achieve good agreement between modelled and experimental data. The Jiles-Atherton model is simple and can reflect t...