Browse our previous events to see how AIIA Lab brings researchers, students, and industry together through impactful workshops, seminars, and conferences.
Date: July 14–18, 2024
Location: Melbourne Convention and Exhibition Centre, Melbourne, Australia
Co-chaired by Professor Amir H. Gandomi, the Student Workshop at the Genetic and Evolutionary Computation Conference (GECCO) 2024 provided a dedicated platform for undergraduate and postgraduate students to present their research in genetic and evolutionary computation. This multi-session event aimed to support students in developing their scientific work, foster collaboration, and facilitate their integration into the research community. Covering a wide range of GECCO tracks—from genetic programming and evolutionary machine learning to swarm intelligence and real-world applications—the workshop encouraged contributions from emerging researchers as main authors and presenters.
Learn MoreDate: July 11, 2024
Location: UTS CB02, Level 12, Room 225, University of Technology Sydney, Ultimo, NSW, Australia
Workshop on Genetic Programming for Data Analysis (GPDA 2024) Chaired by Professor Amir H. Gandomi, GPDA 2024 was held on July 11, 2024, at the University of Technology Sydney (UTS) as an internal, invitation-only event. The workshop brought together leading international researchers and UTS scholars to discuss cutting-edge developments in genetic programming, with sessions featuring keynote lectures, invited talks, and contributed presentations. Distinguished speakers included Giovanni Squillero (Politecnico di Torino, Italy), Alberto Tonda (INRAE, France), Ting Hu (Queen’s University, Canada), Roman Kalkreuth (RWTH Aachen University, Germany), Szymon Lukasik (NASK – AGH University of Science and Technology, Poland), Erik Hemberg (MIT, USA), and Fabricio Olivetti de França (Universidade Federal do ABC, Brazil). Topics ranged from Turing-complete GP and system identification to multi-population ensembles, Cartesian GP, neural architecture search, and the integration of large language models into GP. The event concluded with a panel discussion on future research directions, followed by a networking banquet.
Learn MoreDate: March 3, 2025
Location: UTS CB02, Level 12, Room 225, University of Technology Sydney, Ultimo, NSW, Australia
Chaired by Professor Amir H. Gandomi, the second GPDA workshop was held on March 3, 2025, at the University of Technology Sydney (UTS), bringing together researchers to discuss the latest developments in genetic programming for data analysis. The event featured a keynote lecture by Kalyanmoy Deb (Michigan State University, USA) and invited talks by Adriana-Simona Mihăiță, and AIIA Lab's scholars. Sessions covered a range of topics in evolutionary computation, optimization, and applied genetic programming, with opportunities for networking and collaboration throughout the day.
Learn MoreDate: June 30, 2024
Location: Online
Co-organized by Professor Amir H. Gandomi (UTS, Australia), Professor Kalyanmoy Deb (Michigan State University, USA), Dr. Danial Yazdani (UTS, Australia), Dr. Rohit Salgotra (AGH University of Science and Technology, Poland), and Dr. Mohammad Nabi Omidvar (University of Leeds, UK), this GECCO 2024 competition challenged participants to evaluate their global optimization algorithms on a curated set of 24 problem instances generated by the Generalized Numerical Benchmark Generator (GNBG). Spanning unimodal, single-component multimodal, and multi-component multimodal problem types, the test suite incorporated diverse complexities such as ruggedness, asymmetry, conditioning, and deceptiveness. The competition emphasized not only finding optimal solutions but also understanding algorithmic behavior in navigating complex, deceptive landscapes, providing a rigorous benchmark for innovation in numerical global optimization.
Learn MoreDate: January 15, 2025
Location: Online
Organized by Dr. Rohit Salgotra (AGH University of Science and Technology, Poland & UTS, Australia), Professor Amir H. Gandomi (UTS, Australia & Óbuda University, Hungary), and Professor Kalyanmoy Deb (Michigan State University, USA), this competition challenges researchers to evaluate their global optimization algorithms on 24 problem instances generated by the Generalized Numerical Benchmark Generator II (GNBG-II). The suite spans unimodal, single-component multimodal, and multi-component multimodal problems, incorporating diverse complexities such as ruggedness, asymmetry, conditioning, and deceptiveness. Participants aim not only to find optimal solutions but to gain insights into algorithmic behavior across complex and deceptive search landscapes, offering a rigorous benchmark for innovation in continuous numerical optimization.
Learn MoreDate: May 19, 2025 (Submission Deadline)
Location: Online
Organized by Dr. Danial Yazdani (WINC, Australia), Professor Changhe Li (Anhui University of Science & Technology, China), Dr. Mai Peng (China University of Geosciences, China), Dr. Guoyu Chen (Anhui University of Science & Technology, China), Dr. Michalis Mavrovouniotis (Cyprus University of Technology, Cyprus), Dr. Wenjian Luo (Harbin Institute of Technology & Peng Cheng Laboratory, China), Professor Shengxiang Yang (De Montfort University, UK), and Professor Amir H. Gandomi (UTS, Australia & Óbuda University, Hungary), this competition focuses on evolutionary dynamic optimization methods (EDOs) for unconstrained single-objective continuous dynamic optimization problems. Using the Generalized Moving Peaks Benchmark (GMPB), participants tackle 12 benchmark instances with varying complexity—ranging from unimodal to highly multimodal landscapes, symmetric to highly asymmetric, and smooth to highly irregular search spaces. The aim is not only to find high-quality solutions but also to adapt effectively to dynamic environments. Performance is assessed using the offline error metric across 31 independent runs per instance, offering a rigorous platform for fair comparison of EDO algorithms.
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