Simulated annealing (SA) algorithm is a popular intelligent optimisation algorithm, but its efficiency is unsatisfactory. To improve its efficiency, this paper presents a swarm SA (SSA) algorithm by exploiting the learned knowledge from searching history. In SSA, a swarm of individuals run SA algorithm collaboratively. Inspired by ant colony optimisation (ACO) algorithm, SSA stores knowledge in...

According to the intelligent behavior of social population, the centroid of the individual best of particle swarm is firstly introduced in particle swarm optimization (PSO) model to enhance inter-particle cooperation and information sharing capabilities, then combining the mechanism of population migration algorithm (PMA), a novel PSO algorithm with adaptive space mutation (PMCPSO) is proposed ...

This paper introduces an approach that allows swarm robots to maintain their individual and collective energetic homeostasis. The on-board recharging electronics and intelligent docking stations enable the robots to perform autonomous recharging from low energy states. The procedure of collective decisionmaking increases collective efficiency by preventing bottlenecks at docking stations and th...

To solve the problems of low precision, slow convergence speed and difficult data fusion of standard particle filtering algorithm, a new hybrid intelligent optimization algorithm applicable for data fusion is presented in this paper and will conduce to finding the ideal solution domain by making use of the global convergence of artificial fish swarm and enhancement of fusion precision by guidin...

As current research is focusing on implementation of MANET for various commercial applications. But providing quality of service in Mobile Ad Hoc Networks is not an easy task due to the resource limitations and dynamic nature of MANETs. This paper presents a proposal for maintaining quality of service parameter for communication in MANET. This proposal is mainly inspired by the concept of swarm...

This paper presents a new approach to identify distributed parameters of a lumped-element model for a power transformer. A simplified circuit of a lumped-element model is developed to calculate frequency responses of transformer windings in a wide range of frequency domain. In order to seek optimal parameters of the simplified circuit of the transformer, an intelligent learning technique, based...

The paper presents a novel proactive algorithm to routing called Probabilistic Ant Routing, in mobile ad hoc networks, which is inspired by Ant Colony Optimization (ACO) framework and uses “ants” for route discovery, maintenance and improvement. The algorithm is based on a modification of the state transition rule of ACO routing algorithm that results in maintaining higher degree of exploration...

The development of smart grids has paved the way for sustainable energy infrastructure to transition towards decentralized trading. As intelligent agents, sources engage in trading based on their surplus or deficit. Buyers and sellers (participants) should achieve maximum payoffs which buyers cut costs improve utilities, security sensitive information agents must be guaranteed. This paper provi...

Traditional ranking models used in Web search engines rely on a static snapshot of the Web graph, basically the link structure of the Web documents. However, visitors’ browsing activities indicate the importance of a document. In the traditional static models, the information on document importance conveyed by interactive browsing is neglected. The nowadays Web server/surfer model lacks the abi...