Optimization Techniques

  • Artificial Intelligence - AI |
  • English

Description

Solution of Ordinary differential Equations, Optimization Models in Operations Research Linear and Non-linear models, Simplex Search for Linear Programming, Duality and Sensitivity in Linear Programming, Multi-objective Optimization and Goal Programming, Unconstrained Nonlinear Programming, Selected Methods for Constrained Nonlinear Programming: Lagrange Multiplier Methods and Penalty and Barrier Methods. New optimization techniques

Program

Artificial Intelligence 132 CRs

Objectives

  • - Solve Ordinary differential equations
    - Use mathematical models in which one seeks to minimize or maximize an objective function subject to constraints.
    - Solve linear programming problems.

Textbook

Onwubolu G., Babu B., New Optimization Techniques in Engineering, Springer

Course Content

content serial Description
1Introduction
2Solution of Ordinary differential equations
3Optimization Models in Operations Research
4Linear and Non-linear models
5Simplex Search for Linear Programming
6Duality and Sensitivity in Linear Programming
7Multi-objective Optimization and Goal Programming
8Unconstrained Nonlinear Programming
9Selected Methods for Constrained Nonlinear Programming and Penalty
10Lagrange Multiplier Methods
11Barrier Methods
12Tabular vs. recursive-descent parsers
12Tabular vs. recursive-descent parsers
13Error handling and Run-time Environment
14Code generation
15Code Optimization

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.
Courses
  • Degree Bachelor
  • Code: CCS4004
  • Credit hrs: 3
  • Prequisites: EBA2204- CCS1302
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