Cryptanalysis with Computational Intelligence has gained much interest in recent years. This paper presents an approach for breaking the key used in Simplified-Data Encryption Standard (S-DES) using Genetic algorithm (GA), Particle Swarm Optimization (PSO) and a novel approach called Genetic Swarm Optimization (GSO) obtained by combining the effectiveness of GA and PSO. Ciphertext-only attack i...

In this paper we outline a new swarm intelligence based approach to the problem of training support vector machines with non positive definite kernels. Past approaches using particle swarm optimizers have been shown to compare poorly with other evolutionary computation based methods. In this paper, we describe a new heterogeneous particle swarm optimizer, specifically tailored for the training ...

Fuzzy cognitive maps constitute a neuro-fuzzy modeling methodology that can simulate complex systems accurately. Although their configuration is defined by experts, learning schemes based on evolutionary and swarm intelligence algorithms have been employed for improving their efficiency and effectiveness. This paper comprises an extensive study of the recently proposed swarm intelligence memeti...

Swarm Intelligence in the form of Particle Swarm Optimization (PSO) has potential applications in electric drives. The excellent characteristics of PSO may be successfully used to optimize the performance of electric machines and electric drives in many aspects. It is estimated that, electric machines consume more than 50% of the world electric energy generated. Improving efficiency in electric...

Erratum to ‘‘On convergence of the multi-objective particle swarm optimizers’’ [Inform. Sci. 181 (2011) 1411–1425] Prithwish Chakraborty , Swagatam Das a,⇑, Gourab Ghosh Roy , Ajith Abraham Dept. of Electronics and Telecommunication Eng., Jadavpur University, Kolkata, India Machine Intelligence Research (MIR Labs), Scientific Network for Innovation and Research Excellence, P.O. Box 2259, Auburn...

Traditional mathematical algorithms are incapable of solving real time engineering design problems because of its rigid procedure mainly due to discrete or random data and multiobjective functions in a problem. An optimization algorithm is a procedure which is executed iteratively by comparing various solutions till the optimum or a satisfactory solution is found. There are two population based...

Functional Magnetic Resonance Imaging (fMRI) data is collected ceaselessly during brain research, which implicates some important information. It need to be extracted and translated to intelligible knowledge. In this paper, we attempt to extract multi-knowledge from fMRI data using rough set approach. A rough set reduction approach is presented based on particle swarm optimization algorithm, wh...

This paper introduces an enhancement to the particle swarm optimization algorithms that models a characteristic of social groups: the disagreements between individuals. After a short introduction, we describe the new concept theoretically and define a special type of particle swarm optimization with disagreements: the 6σ-PSOD. Based on it, we conduct some tests proving that it can perform bette...

24 25 26 27 28 29 30 31 32 33 34 35 Article history: Received 22 June 2011 Received in revised form 5 September 2012 Accepted 20 September 2012 Available online xxxx