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Genetic Algorithm
| Institution | Jomo Kenyatta University of Science and Technology |
| Course | Information Technol... |
| Year | 3rd Year |
| Semester | Unknown |
| Posted By | Jeff Odhiambo |
| File Type | ppt |
| Pages | |
| File Size | 260.5 KB |
| Views | 1688 |
| Downloads | 0 |
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Description
A Genetic Algorithm (GA) is an optimization technique inspired by natural selection and evolution. It operates by encoding potential solutions as "chromosomes" and applying genetic operators such as selection, crossover, and mutation to evolve better solutions over generations. The fittest individuals, based on a predefined objective function, are more likely to pass their traits to the next generation, ensuring gradual improvement. GAs are widely used in complex problem-solving, including machine learning, engineering design, and artificial intelligence, where traditional optimization methods may be inefficient or impractical.
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ICS 2202: Virtual Memory
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BIT 2112: Introduction to System analysis and Design
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BIT 2112: Introduction to Systems
A system is a collection of interrelated components or elements working together toward a common goal or purpose. In various fields, including engineering, business, biology, and information technology, systems are used to organize, analyze, and solve problems in a structured way. Systems can range from simple mechanical devices to complex organizational processes or software applications.
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BIT 2112: Lesson 1 Information System Building blocks
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BIT 2112: Lesson 2 Information Systems Development
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BIT 2112: Lesson 3 Project Initiation
Project initiation is the first phase of a project where the foundational aspects are defined.
24 Pages
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