Showing papers in "Applied Soft Computing in 2002"

TL;DR: An immunity-based ant colony optimization (ACO) algorithm for solving weapon–target assignment (WTA) problems is proposed and from the simulation for those WTA problems, the proposed algorithm indeed is very efficient.

TL;DR: A genetic programming framework, capable of performing an automatic discovery of classification rules easily comprehensible by humans, is presented and a comparison with the results achieved by other techniques on a classical benchmark set is carried out.

TL;DR: The algorithm generates a Takagi–Sugeno–Kang fuzzy model, characterised with transparency, high accuracy and small number of rules, which is compared with similar existing models, available in literature.

TL;DR: A comparison with the results achieved by classical crossover-based GAs, both sequential and parallel, shows the effectiveness of two nature-based mutations, i.e. the frame-shift and the translocation.

TL;DR: Results show that the hybrid system addresses the problem of small disjuncts by using a hybrid decision-tree/genetic-algorithm approach achieves better predictive accuracy than all three versions of C4.5 alone.

TL;DR: A two-time scale fuzzy logic controller will be applied for flexible-link robot arm control using fuzzy logic, and a singular perturbation approach to reduce the effect of spillover.

TL;DR: SONN dwells on the ideas of fuzzy rule-based computing and neural networks thus emerging as a sound construct of computational intelligence as well as a flexible neural architecture whose structure is not fixed in advance but becomes developed through a growth process.

TL;DR: The validity of the proposed fuzzy logic control has been demonstrated experimentally in a steel cantilever test beam and a set of experimental tests are made in the system to verify the efficiency of the on-line self-organizing fuzzy controller.

TL;DR: This visualization helps to envision the landscape of an n -D searching space, so that it is easier for us to join an EC search by indicating the possible global optimum estimated in the 2-D mapped space.

TL;DR: A fuzzy stochastic dynamic programming (FSDP) approach to derive steady-state multipurpose reservoir operating policies for the Mansour Eddahbi reservoir (Morocco) with current inflow as the hydrologic state variable is proposed.

TL;DR: A ‘test bed’ capable of simulating the features of real-life optimisation problems in a systematic and controlled manner is proposed and applied to analyse the performance of an evolutionary-based algorithm, developed by the authors for real- life design optimisation.

TL;DR: The classification results show that the difference of VEP signals between alcoholics and non-alcoholics can be observed using two spectral power ratios in gamma band (37–50 Hz) extracted from seven channels, indicating that gamma band spectral power could be used to show evidence on the lasting effects of long-term use of alcohol on visual response.

TL;DR: A hybrid architecture that combines soft support vector classification and reinforcement learning for value estimation is introduced for the evaluation of a link and its neighboring links, called the context of a document.

TL;DR: The problem of detection of subsurface cavities by the method of infrared computerised axial tomography (IR-CAT) has numerous applications in non-destructive testing of materials.

TL;DR: A genetic algorithm based method to solve the capacity and routing assignment problem arising from the design of self-healing networks using the virtual path (VP) concept, which works for both unicast traffic and multicast traffic.

TL;DR: A new optimization method that stochastically builds up a solution step-by-step in combination with simulated annealing is used for multistage decision-making of finite-state automaton.