Personal information

Multi-Objective Optimization, Evolutionary Algorithms, Renewable Energy, Intelligent Control, Soft Computing Applications, Machine Learning
Australia

Biography

Born 1991 in Iran, holds M.Sc. and B.Sc. degrees in Mechanical Engineering from University of Guilan, Iran. He is now a PhD Candidate in the Optimisation and Logistics which is a research group of School of Computer Science at the University of Adelaide. He completed his MSc. thesis entitled “Multi-objective optimum topology design of trusses using genetic programming” under the supervision of Dr. Ali Jamali. He also has studied about topology optimization of concentrating solar power plants incorporating thermal energy storage for partial fulfilment of the B.Sc degree. His research interests include Multidisciplinary Design Optimization, Metaheuristic algorithms, Reliability-based Design, Renewable Energies, Intelligent Control and Soft Computing Applications.

Activities

Employment (2)

University of Adelaide: Adelaide, South Australia, AU

2021 to present | Grant Funded Researcher (School of Electrical and Mechanical Engineering)
Employment
Source: Self-asserted source
Hirad Assimi

University of Adelaide: Adelaide, South Australia, AU

2018 to 2023 | PhD Candidate (School of Computer Science)
Employment
Source: Self-asserted source
Hirad Assimi

Education and qualifications (3)

University of Adelaide: Adelaide, South Australia, AU

2018 to 2023 | Phd Candidate (School of Computer Science)
Education
Source: Self-asserted source
Hirad Assimi

University of Guilan: Rasht, Gilan, IR

2014 to 2017 | Master of Science (Mechanical Engineering)
Education
Source: Self-asserted source
Hirad Assimi

University of Guilan: Rasht, Gilan, IR

2009 to 2014 | Bachelor of Science (Mechanical Engineering)
Education
Source: Self-asserted source
Hirad Assimi

Works (14)

Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2022 | Book
EID:

2-s2.0-85128716165

Part of ISSN: 16113349 03029743
Contributors: Assimi, H.; Neumann, F.; Wagner, M.; Li, X.
Source: Self-asserted source
Hirad Assimi via Scopus - Elsevier

Run-of-mine stockyard recovery scheduling and optimisation for multiple reclaimers

Proceedings of the ACM Symposium on Applied Computing
2022 | Conference paper
EID:

2-s2.0-85130323723

Contributors: Assimi, H.; Koch, B.; Garcia, C.; Wagner, M.; Neumann, F.
Source: Self-asserted source
Hirad Assimi via Scopus - Elsevier

Modelling and optimization of run-of-mine stockpile recovery

Proceedings of the ACM Symposium on Applied Computing
2021 | Conference paper
EID:

2-s2.0-85104931408

Contributors: Assimi, H.; Koch, B.; Garcia, C.; Wagner, M.; Neumann, F.
Source: Self-asserted source
Hirad Assimi via Scopus - Elsevier

Novelty particle swarm optimisation for truss optimisation problems

GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
2021 | Conference paper
EID:

2-s2.0-85111051415

Contributors: Assimi, H.; Neumann, F.; Wagner, M.; Li, X.
Source: Self-asserted source
Hirad Assimi via Scopus - Elsevier

Robust controller design for systems with probabilistic uncertain parameters using multi-objective genetic programming

Soft Computing
2021 | Journal article
EID:

2-s2.0-85087514218

Part of ISSN: 14337479 14327643
Contributors: Mallipeddi, R.; Gholaminezhad, I.; Saeedi, M.S.; Assimi, H.; Jamali, A.
Source: Self-asserted source
Hirad Assimi via Scopus - Elsevier

Evolutionary bi- bjective optimization for the dynamic chance-constrained knapsack problem based on tail bound objectives

Frontiers in Artificial Intelligence and Applications
2020 | Book
EID:

2-s2.0-85091802977

Part of ISSN: 09226389
Contributors: Assimi, H.; Harper, O.; Xie, Y.; Neumann, A.; Neumann, F.
Source: Self-asserted source
Hirad Assimi via Scopus - Elsevier

Genetic Programming Approaches in Design and Optimization of Mechanical Engineering Applications

Nonlinear Approaches in Engineering Applications
2020 | Book chapter
Part of ISBN: 9783030189624
Part of ISBN: 9783030189631
Source: Self-asserted source
Hirad Assimi

Evolutionary algorithms for the chance-constrained knapsack problem

Proceedings of the Genetic and Evolutionary Computation Conference on - GECCO '19
2019 | Conference paper
Source: Self-asserted source
Hirad Assimi

Multi-objective sizing and topology optimization of truss structures using genetic programming based on a new adaptive mutant operator

Neural Computing and Applications
2019 | Journal article
EID:

2-s2.0-85045065255

Contributors: Assimi, H.; Jamali, A.; Nariman-zadeh, N.
Source: Self-asserted source
Hirad Assimi via Scopus - Elsevier

A hybrid algorithm coupling genetic programming and Nelder–Mead for topology and size optimization of trusses with static and dynamic constraints

Expert Systems with Applications
2018 | Journal article
EID:

2-s2.0-85034847084

Contributors: Assimi, H.; Jamali, A.
Source: Self-asserted source
Hirad Assimi via Scopus - Elsevier

Multi-objective reliability-based robust design optimization of robot gripper mechanism with probabilistically uncertain parameters

Neural Computing and Applications
2017 | Journal article
EID:

2-s2.0-85035237213

Contributors: Gholaminezhad, I.; Jamali, A.; Assimi, H.
Source: Self-asserted source
Hirad Assimi via Scopus - Elsevier

Sizing and topology optimization of truss structures using genetic programming

Swarm and Evolutionary Computation
2017 | Journal article
EID:

2-s2.0-85020164860

Contributors: Assimi, H.; Jamali, A.; Nariman-zadeh, N.
Source: Self-asserted source
Hirad Assimi via Scopus - Elsevier

Uncertainty quantification and robust modeling of selective laser melting process using stochastic multi-objective approach

International Journal of Advanced Manufacturing Technology
2016 | Journal article
EID:

2-s2.0-84953374842

Contributors: Gholaminezhad, I.; Assimi, H.; Jamali, A.; Vajari, D.A.
Source: Self-asserted source
Hirad Assimi via Scopus - Elsevier

Automated synthesis of optimal controller using multi-objective genetic programming for two-mass-spring system

2014 2nd RSI/ISM International Conference on Robotics and Mechatronics, ICRoM 2014
2014 | Conference paper
EID:

2-s2.0-84922597876

Contributors: Gholaminezhad, I.; Jamali, A.; Assimi, H.
Source: Self-asserted source
Hirad Assimi via Scopus - Elsevier