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**Artificial Intelligence**

Genetic Algorithms Source:

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Genetic Algorithms Genetic algorithms are a part of evolutionary computing, which is a rapidly growing area of artificial intelligence. Genetic algorithms are inspired by Darwin's theory about evolution. It is an intelligent random search technique used to solve optimization problem Although randomized but GA’s exploit historical information to direct the search into the region of better performance within the search space.

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Genetic Algorithms

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**Why Genetic Algorithms?**

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Optimization

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Optimization

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**Search Optimization Algorithms**

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**Search Optimization Algorithms**

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**Biological Background – Basic Genetics**

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**Biological Background – Basic Genetics**

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**Biological Background – Basic Genetics**

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**Biological Background – Basic Genetics**

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**Biological Background – Basic Genetics**

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**Biological Background – Basic Genetics**

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Search Space

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Working Principles

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Working Principles

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**Outline of Basic Genetic Algorithm**

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**Outline of Basic Genetic Algorithm**

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**Encoding- Genetic Algorithms**

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**Encoding- Genetic Algorithms**

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Binary Encoding

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Binary Encoding

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Value Encoding

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Permutation Encoding

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Permutation Encoding

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Tree Encoding

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Tree Encoding

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**Operators of Genetic Algorithm**

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**Operators of Genetic Algorithm**

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**Reproduction – or Selection**

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**Reproduction – or Selection**

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**Reproduction – or Selection**

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Example of Selection

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**Roulette Wheel Selection**

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**Roulette Wheel Selection**

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**Roulette Wheel Selection**

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Boltzmann Selection

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Boltzmann Selection

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Crossover operator

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One-point Crossover

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Two-point Crossover

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Uniform Crossover

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Arithmetic Crossover

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Heuristic Crossover

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Mutation

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Mutation

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Flip Bit

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Boundary

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Non Uniform

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Uniform

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Gaussian

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Examples

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**Genetic Algorithm Approach to problem Maximize f(x)=x2**

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**Genetic Algorithm Approach to problem Maximize f(x)=x2**

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**Genetic Algorithm Approach to problem Maximize f(x)=x2**

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**Genetic Algorithm Approach to problem Maximize f(x)=x2**

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**Genetic Algorithm Approach to problem Maximize f(x)=x2**

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**Genetic Algorithm Approach to problem Maximize f(x)=x2**

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**Genetic Algorithm Approach to problem Maximize f(x)=x2**

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