Optimization Techniques

  • Computer Science |

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 Pro-gramming, Selected Methods for Constrained Nonlinear Programming: Lagrange Multiplier Meth-ods and Penalty and Barrier Methods. New optimization techniques.

Program

Bachelor of Computer Science - 144 CRs

Objectives

  • 1. Solve Ordinary differential equations
    2. Use mathematical models in which one seeks to minimize or maximize an objective function subject to constraints.
    3. Solve linear programming problems.
    4. Solve nonlinear programming problems
    5. Find solution methods for optimization models using optimization software.
    6. Understand Multi-objective Optimization and Goal Programming.

Textbook

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

Course Content

content serial Description
1Solution of Ordinary differential equations
2Optimization Models in Operations Research
3Linear and Non-linear models
4Simplex Search for Linear Programming
5Duality and Sensitivity in Linear Programming
6Multi-objective Optimization and Goal
77th week exam
8Unconstrained Nonlinear Programming
9Selected Methods for Constrained Nonlinear Pro-gramming: Lagrange Multiplier Methods and Penalty and Barrier Methods
10Genetic Algorithms
11Ant Colony Optimization
1212th week exam
13Particle Swarm Optimization
14Applications of new optimization techniques
15Revision
16Final exam

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.

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