Date of Publication

2006

Document Type

Master's Thesis

Degree Name

Master of Science in Electronics and Communications Engineering

Subject Categories

Engineering

College

Gokongwei College of Engineering

Department/Unit

Electronics and Communications Engineering

Thesis Adviser

Felicito S. Caluyo

Defense Panel Member

Edwin Sybingco
Alvin Chua
Madi A. Nazar

Abstract/Summary

This study presents the design and development of a set of metaheuristics based on ant colony optimization for optimizing a feedback control system. The metaheuristics developed are based on the sequential attack of ants in the search space, which is then called Sequential Update-Based Ant Colony Optimization (SeqACO). These metaheuristics are used in hybrid with different conventional PID tuning techniques in order to further optimize the feedback control system. Experimental and numerical results prove that a sequential update-based ant colony optimization metaheuristic can be developed and be used to solve combinatorial optimization problems, especially, PID tuning problems.

Abstract Format

html

Language

English

Format

Electronic

Accession Number

CDTG004196

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

x, 160 leaves ; 28 cm.

Keywords

Combinatorial optimization; Feedback control systems; Metaheuristics

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