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The performance of particle swarm optimization (PSO) algorithms depends strongly upon the interaction among the particles. The existing communication topologies for PSO (e.g. star, ring, wheel, pyramid, von Neumann, clan, four clusters) can be viewed as distinct means to coordinate the information flow within the swarm. Overall, each particle exerts some influence among others placed in its immediate...
In order to appropriately tackle the complexity of real world problems, decision makers often use special support tools. Comprising an important class of such tools, intelligent decision support systems (iDSS) are able to not only help on the decision making process, but also improve their performance through time. Very often the use of intelligent techniques in iDSS focuses only on the reasoning...
This work presents a suite of hybrid intelligent techniques helpful in decision making, the hybrid intelligent decision suite (HIDS). The system is composed of two complementary modules, one for forecasting new decision variables and the other, for searching among generated results of candidate decisions. Using this synergistic approach, HIDS is also suitable to obtain conditioning factors leading...
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