COMPX556

Metaheuristic Algorithms

Metaheuristic are stochastic search algorithms for solving massive scale combinatorial problems where exact algorithms do not exist. This paper explores the state-of-the-art metaheuristics such as GRASP, particle swarm optimisation, and parallel metaheuristics, along with their applications in operations research, science and engineering.

Metaheuristic are stochastic search algorithms for solving massive scale combinatorial problems where exact algorithms do not exist. This paper explores the state-of-the-art metaheuristics such as GRASP, particle swarm optimisation, and parallel metaheuristics, along with their applications in operations research, science and engineering.

Paper Information

Points: 15.0
Prerequisite(s): COMPX301 and a further 30 points at 300 level in Computer Science
Internal assessment / examination: 100:0

Trimesters and Locations

Occurrence Code When taught Where taught
22B (HAM)B Trimester : 18 Jul 2022 - 13 Nov 2022 Hamilton
COMPX556-22B (HAM) is offered in a FLEXI mode. No online elements of this paper require student engagement at specific times / days.

Timetabled Lectures for Metaheuristic Algorithms (COMPX556)

There are no timetabled lectures for 2022 occurrences of COMPX556 in 2022.

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Indicative Fees for Metaheuristic Algorithms (COMPX556)

Occurrence Domestic International
 Tuition Resource 
22B (HAM) $1081 $4643
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Paper Outlines

Paper outlines are currently not available for this paper. Please contact the Faculty or School office for further details.

Additional Information

Available Subjects:  Artificial Intelligence | Computer Science | Software Engineering

Other available years: Metaheuristic Algorithms - COMPX556 (2021) , Metaheuristic Algorithms - COMPX556 (2020)

Paper details current as of : 27 May 2022 8:00pm
Indicative fees current as of : 28 May 2022 4:30am

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