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Chapter 7 Optimization Methods

Chapter 7 Optimization Methods. Introduction. Examples of optimization problems IC design (placement, wiring) Graph theoretic problems (partitioning, coloring, vertex covering) Planning Scheduling Other combinatorial optimization problems (knapsack, TSP) Approaches

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658 views • 43 slides

A Reinforcement Learning Method Based on Adaptive Simulated Annealing

A Reinforcement Learning Method Based on Adaptive Simulated Annealing. A uthored by: Amir F. Atiya Department of Computer Engineering Cairo University, Giza, Egypt Alexander G. Parlos Dept. mechanical Engineering Texas A&M University, College Station, Texas Lester Ingber

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235 views • 22 slides

MSE Presentation 2

MSE Presentation 2. Lakshmikanth Ganti www.cis.ksu.edu/~ganti/mse_pro.htm. Overview. Updates of First phase artifacts Architecture design Formal Requirements Specification Test plan Formal Technical Inspection Prototype Demo. Updates. Vision Document Software requirements Specification

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305 views • 21 slides

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Entire state space - PowerPoint PPT Presentation

Chapter 7 Optimization Methods

A Reinforcement Learning Method Based on Adaptive Simulated Annealing

MSE Presentation 2