دانلود مقاله Multi-Objective Optimal Synthesis of Four-Bar Mechanisms with Probabilistic Uncertainties using a Genetic Algorithm
دانلود مقاله Optimal management in regulation of adding materials in water distribution systems by multi-population genetic algorithm method
دانلود مقاله Investigate the Potential and Limitations of Meta-heuristics Algorithms Applied in Reservoir Operation Systems
دانلود مقاله Online Management and Balancing of Microgrid with CHP System Using Multi-objective Genetic Algorithms
دانلود مقاله Metaheuristic Algorithms for Optimization of Regulator Parameters in the Variable speed DC motor Drives
دانلود مقاله Intelligent Routing in IP-Based Networks: A New Approach using Learning Classifier Systems
دانلود مقاله Reliability-based Pareto Optimal Design of Controller for Probabilistic Systems Using Fuzzy Rule-based System and GA
دانلود مقاله Optimal Design of On-Line PID Controller Using Model Predictive Control and GMDH-type Neural Networks
دانلود مقاله Simulation and Qualitative Assessment of Traditional Qanats with Automatic Genetic Algorithms Calibration (case study: Zarch qanat
دانلود مقاله Introduction of a Nero-Genetic Fuzzy Controller for the Sub-Optimized Path-Tracking of ROVs
دانلود مقاله Application of MATLAB Simulink to Determination of Process Parameters for Maximum Power of a PEMFC
دانلود مقاله A Novel Functional Sized Population Quantum Evolutionary Algorithm for Fractal Image Compression
دانلود مقاله A Novel Technique for the Design and Optimization of FIR Digital Filters Using Genetic Algorithm
دانلود مقاله The Efficiency of Using Multi-Step Genetic Algorithms for Optimization of Bandgap Reference Circuits
