A novel particle swarm optimization (PSO)-based algorithm for the traveling salesman problem (TSP) is presented. An uncertain searching strategy and a crossover eliminated technique are used to accelerate the convergence speed. Compared with the existing algorithms for solving TSP using swarm intelligence, it has been shown that the size of the solved problems could be increased by using the pr...

Feistel cipher based cryptographic algorithms like DES are very hard for the cryptanalysts as their internal structures are based on high nonlinearity and low autocorrelation. It has been shown that the traditional and brute-force type attacks are insignificant for the cryptanalysis of this type of algorithms. Swarm intelligence is an exciting new research field and shown their effectiveness, r...

Interactive Multi-Objective Optimisation is an increasing field of evolutionary and swarm intelligence-based algorithms. By involving a human decision, a set of relevant non-dominated points can often be acquired at significantly lower computational costs than with a posteriori algorithms. A rarely addressed issue in interactive optimisation is the design of efficient user interfaces and the ap...

Stochastic optimization algorithms are usually evaluated based on performance on high dimensional benchmark functions and results of these tests determine the direction of development. Benchmark functions however, do not emulate complex engineering problems. In this paper a power plant optimization problem is presented and solved under different constraints with multiple elite dependent and sin...

Path-planning for uninhabited combat air vehicles (UCAV) is a typically complicated global optimization problem. It seeks superior flight path in complex battlefield environment, taking into various constraints. Many swarm intelligence (SI) algorithms have recently gained remarkable attention due to their capability address problems. However, different SI present performances UCAV path-planning...

Swarm behavior is a relatively new technique in Artificial Intelligence with a wide variety of applications. Inspired by the social systems of colony insects such as ants and bees, swarm algorithms solve global problems through the local decisions and interactions of individual agents. In this project, swarm technology provides the distributed infrastructure used for resource discovery, area co...

A wireless sensor network is a collection of nodes ordered into a co-operative network. The nodes communicate wirelessly and frequently self-organize after being arranged in an ad hoc manner. In progress proposals for routing in sensor networks were optimize for the limited capabilities of the nodes and the application precise nature of the networks. Existing routing algorithms are not resource...