In this paper, a decentralized group formation algorithm for task allocation in complex adaptive systems is proposed. Compared with current related works, this decentralized algorithm takes system architectures into account and allows not only neighboring agents but also indirect linked agents in the system to help with a task. A system adaptation strategy is also developed for discovering effe...

Biology-Inspired techniques for Self-Organization in dynamic Networks (BISON) is a three-year Shared-Cost RTD Project (IST-2001-38923) funded by the Future and Emerging Technologies initiative of the Information Society Technologies Programme of the European Commission. It runs from January 2003 until December 2005. The objective of BISON is the design and implementation of algorithms for manag...

A method is proposed that uses a filter bank and an adaptive filter for the harmonic estimation in power signals. Here the amplitudes and frequencies of each harmonic is estimated. A fundamental filter bank (FB) decomposes the input power signal into sub signals and multistage FB is used for higher order harmonic decomposition. An adaptive filter is used to estimate the parameters more accurate...

abstract introduction: neuro-occupation is one of the newest models in occupational therapy (ot). the nature of this model is based on the coexistence and dynamic interactions between brain’s neural system functions and engagement of an individual in occupations. neuro-occupation model holistically views the individual as a blending of neuroscience and occupation. the human brain is perceived t...

Operation of multi-reservoir systems is known as complicated and often large-scale optimization problems. The problems, because of broad search space, nonlinear relationships, correlation of several variables, as well as problem uncertainty, are difficult requiring powerful algorithms with specific capabilities to be solved. In the present study a Self-adaptive version of Melody Search algorith...

In the hierarchical wireless sensor network (WSN), selecting cluster head (CH) is important issue to increase the network energy efficiency, scalability and lifetime. For the sake of balancing energy expenditure of sensor nodes and improving the performance of routing, We propose a distributed and self-adaptive cluster-head selection algorithm. Based on the hierarchical agglomerative clustering...