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Genetic Algorithms
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Genetic Algorithms
Overview
Formulating a Genetic Algorithm Optimization
Choosing the Problem Encoding
Setting the Objective Function
Controlling the Selection Process
Using Crossover and Mutation Operators
Executing a Genetic Algorithm
Setting Up the IML Program
Incorporating Local Optimization
Handling Constraints
Genetic Algorithm with Local Optimization
Real-Valued Objective Optimization with Constant Bounds
Integer Programming Knapsack Problem
Optimization with Linear Constraints Using Repair Strategy
References
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