Genetic Algorithm

Genetic Algorithm (GA) Genetic Algorithms are the heuristic search and optimization techniques that mimic the process of natural evolution. Advantages/Benefits of Genetic Algorithm The concept is easy to understand. GA search from a population of points, not a single point. GA use payoff (objective function) information, not derivatives. GA supports multi-objective…


SoftComputing and HardComputing

SoftComputing It is a collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness, and low solution cost. SoftComputing Main Components 1. Approximate Reasoning example: Probabilistic Reasoning, Fuzzy logic. 2. Search and Optimization example: Neural Network, Evolutionary algorithms. Problem Solving Technologies HardComputing…


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