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...

In the near future, Wireless Sensor Networks (WSNs) are expected to play an important role for sensing applications, in the civilian as well as in the military sector. WSNs are autonomous, distributed, self-organised networks consisting of multiple sensor nodes. Usually, the limited radio range of the nodes, arising from energy constrains, is overcome by the cooperation of nodes. As the Combina...

optimization of reservoir parameters is an important issue in petroleum exploration and production. the ant colony optimization(aco) is a recent approach to solve discrete and continuous optimization problems. in this paper, the ant colony optimization is usedas an intelligent tool to estimate reservoir rock properties. the methodology is illustrated by using a case study on shear wave velocity...

It is important to know the secondary structure of RNA for applications such as drug development and modelling single stranded viruses. Predictive methods have various degrees of accuracy but are significantly faster and cheaper than empirical methods such as X-ray crystallography. This project explores how Ant Colony Optimisation (ACO) performs on the task of RNA secondary structure prediction...

An open shop scheduling problem based on a mechanical workshop is described here. The main objective is to find the sequence of jobs which minimizes the total flow time. For that reason, we first formulate the problem as a mixed integer linear programming model which considers different resource constraints related to the personnel assignment. Resource skills and their availability are required...

water conveyance systems (wcss) are costly infrastructures in terms of materials, construction, maintenance and energy requirements. much attention has been given to the application of optimization methods to minimize the costs associated with such infrastructures. historically, traditional optimization techniques have been used, such as linear and non-linear programming. in this paper, applica...

A new algorithm for manipulating the radiation pattern of Electronically Steerable Array Radiator Antennas is proposed. A continuous implementation of the Ant Colony Optimisation (ACO) technique calculates the optimal impedance values of reactances loading different parasitic radiators placed in a circle around a centre antenna. By proposing a method to obtain a suitable sampling frequency of t...

The article presents an adaptive method, called Free Search. It implements ideas different from other evolutionary algorithms such as Genetic Algorithms, Particle Swarm Optimisation, Differential Evolution and Ant Colony Optimisation. Free Search is based on original concepts for individual intelligence and independence of the population members. It is applied to optimisation of time dependent ...

Redundancy allocation is a widely used method for the reliability improvement of complex embedded systems in the automotive domain. The allocation of redundant components can affect other nonfunctional quality attributes of the system, which are as important as reliability and very often conflicting with each other, such as cost and response time. Consequently, to find the good system design op...