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Titlebook: Soft Computing for Intelligent Control and Mobile Robotics; Oscar Castillo,Janusz Kacprzyk,Witold Pedrycz Book 2011 Springer Berlin Heidel

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樓主: Ensign
31#
發(fā)表于 2025-3-26 21:10:06 | 只看該作者
Academic Timetabling Design Using Hyper-Heuristicsrs, Classrooms and Timeslots under certain constrains that dependent in many cases the policies of each educational institution. The idea behind hyper-heuristics is to discover some combination of straightforward heuristics to solve a wide range of problems. This paper presents a GA-based method tha
32#
發(fā)表于 2025-3-27 02:00:31 | 只看該作者
33#
發(fā)表于 2025-3-27 05:24:31 | 只看該作者
34#
發(fā)表于 2025-3-27 13:01:46 | 只看該作者
Simple Tuning of Type-2 Fuzzy Controllers implies the handling of a great quantity of variables like: the shape, number and ranges of the membership functions, the percentage of overlap among them and the design of the rule base. The problem is more complicated when it is necessary to control multivariable systems due that the number of pa
35#
發(fā)表于 2025-3-27 16:12:00 | 只看該作者
36#
發(fā)表于 2025-3-27 21:45:25 | 只看該作者
Multi-Agent System Based on Psychological Models for Mobile Robotsedge Query and Manipulation Language (KQML), and new features of the Jade programming language, for the creation of distributed applications such as Remote Method Invocation (RMI). A society of intelligent agents could solve these problems. These agents would be able to migrate from one node to anot
37#
發(fā)表于 2025-3-28 01:15:18 | 只看該作者
Fuzzy Control for Dynamical Parameter Adaptation in a Parallel Evolutionary Method Combining ParticlGenetic Algorithms (GAs) and Fuzzy Logic for parameter adaptation and integrate the results. The parallel evolutionary method combines the advantages of parallel computing, PSO and GA to give us an improved parallel FPSO+FGA hybrid method. Fuzzy Logic is used to combine the results of the PSO and GA
38#
發(fā)表于 2025-3-28 05:52:16 | 只看該作者
39#
發(fā)表于 2025-3-28 06:54:49 | 只看該作者
40#
發(fā)表于 2025-3-28 12:33:55 | 只看該作者
Design of a Fuzzy System for the Longitudinal Control of an F-14 Airplanecontrolling the elevators of the airplane. To carry out such monitoring it is necessary to use the stick, the rate of elevation and the angle of attack. These 3 variables are input into the fuzzy inference system, which is of Mamdani type, and we obtain as output the value of the elevators. After de
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