Towards group transport by swarms of robots
DOI: 10.1504/IJBIC.2009.022770 | Roderich Gross, Marco Dorigo | We examine the ability of a swarm robotic system to transport cooperatively objects of different shapes and sizes. We simulate a group of autonomous mobile robots that can physically connect to each other and to the transported object. Cont... | 1 - 13 |
Hybrid particle swarm optimization algorithm with fine tuning operators
DOI: 10.1504/IJBIC.2009.022770 | G. Ramana Murthy, M. Senthil Arumugam, C.K. Loo | This paper introduces a new approach called hybrid particle swarm optimisation like algorithm (hybrid PSO) with fine tuning operators to solve optimisation problems. This method combines the merits of the parameter-free PSO (pf-PSO) and the... | 14 - 31 |
Tackling magnetoencephalography with particle swarm optimization
DOI: 10.1504/IJBIC.2009.022770 | K.E. Parsopoulos, F. Kariotou, G. Dassios, M.N. Vrahatis | This paper investigates the performance of particle swarm optimization (PSO) and unified particle swarm optimization (UPSO) in magnetoencephalography (MEG) problems. For this purpose, two interesting tasks are considered. The first is the s... | 32 - 49 |
Predicted modified PSO with time-varying accelerator coefficients
DOI: 10.1504/IJBIC.2009.022770 | Xingjuan Cai, Yan Cui, Ying Tan | Cognitive and social learning factors are two important parameters associated with the performance of particle swarm optimisation significantly. Up to date, many selection strategies have been proposed aiming to improve either the performan... | 50 - 60 |
Swarm-based approximate dynamic optimization process for discrete particle swarm optimization system
DOI: 10.1504/IJBIC.2009.022770 | Qi Kang, Lei Wang, Qidi Wu | This paper presents a convergence analysis of particle swarm optimisation system by treating it as a discrete-time linear time-variant system firstly. And then, based on the results of system convergence conditions, dynamic optimal control ... | 61 - 70 |
The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm
DOI: 10.1504/IJBIC.2009.022770 | Hamed Shah-Hosseini | A natural river often finds good paths among lots of possible paths in its ways from the source to destination. These near optimal or optimal paths are obtained by the actions and reactions that occur among the water drops and the water dro... | 71 - 79 |
Fusion of clonal selection algorithm and harmony search method in optimisation of fuzzy classification systems
DOI: 10.1504/IJBIC.2009.022770 | Xiaolei Wang, Xiao-Zhi Gao, Seppo J. Ovaska | This paper presents a hybrid optimisation method based on the fusion of the clonal selection algorithm (CSA) and harmony search (HS) technique. The CSA is employed to improve the harmony memory members in the HS method. The hybrid optimisat... | 80 - 88 |
A novel alternative to conventional machine vision features
DOI: 10.1504/IJBIC.2009.022770 | Suash Deb | The problem of recognition, classification and distance measurement between different polygons are all very important tasks in pattern recognition, text identification and model-based vision. The performance of any such job depends to a gre... | 89 - 92 |
On a hybrid weightless neural system
DOI: 10.1504/IJBIC.2009.022770 | T.B. Ludermir, M.C.P. De Souto, W.R. De Oliveira | A hybrid system using weightless neural networks (WNNs) and finite state automata is described in this paper. With the use of such a system, rules can be inserted and extracted into/from WNNs. The rule insertion and extraction problems ... | 93 - 104 |
Lexicographic multi-objective evolutionary induction of decision trees
DOI: 10.1504/IJBIC.2009.022770 | Marcio P. Basgalupp, Andre C.P.L.F. De Carvalho, Rodrigo C. Barros, Duncan D. Ruiz, Alex A. Freitas | Among the several tasks that evolutionary algorithms have successfully employed, the induction of classification rules and decision trees has been shown to be a relevant approach for several application domains. Decision tree induction algo... | 105 - 117 |
Swarms-based emotions modelling
DOI: 10.1504/IJBIC.2009.022770 | Aladdin Ayesh | Emotion modelling started to attract the interest of researchers from knowledge representation, reasoning and decision-making fields. The advances in cognitive systems development and applications encouraged this interest. Whilst there are ... | 118 - 124 |
Imperialist competitive algorithm for minimum bit error rate beamforming
DOI: 10.1504/IJBIC.2009.022770 | Arash Khabbazi, Esmaeil Atashpaz-Gargari, Caro Lucas | In this paper, the recently introduced optimisation strategy, imperialist competitive algorithm (ICA) is used to design an optimal antenna array which minimises the error probability for binary phase shift keying modulation, called minimum ... | 125 - 133 |
