Surveillance camera placement optimization using Particle Swarm Optimization (PSO) algorithm and Mixed-Integer Linear Programming (MILP) model / `Ain Safia Roslan

This project explores the optimization of surveillance camera placements using Particle Swarm Optimization (PSO) and Mixed-Integer Linear Programming (MILP). PSO, inspired by the social behaviour of birds flocking or fish schooling, is a heuristic algorithm known for its flexibility and exploration...

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主要作者: Roslan, `Ain Safia
格式: Thesis
語言:English
出版: 2024
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在線閱讀:https://ir.uitm.edu.my/id/eprint/106025/1/106025.pdf
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