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- research-articleJanuary 2024
When Evolutionary Computation Meets Privacy
IEEE Computational Intelligence Magazine (COMPINT), Volume 19, Issue 1Feb. 2024, Pages 66–74https://doi.org/10.1109/MCI.2023.3327892Recently, evolutionary computation (EC) has experienced significant advancements due to the integration of machine learning, distributed computing, and big data technologies. These developments have led to new research avenues in EC, such as distributed ...
- research-articleJanuary 2024
Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection
IEEE Computational Intelligence Magazine (COMPINT), Volume 19, Issue 1Feb. 2024, Pages 36–50https://doi.org/10.1109/MCI.2023.3327841Many real-world classification problems are becoming multi-label in nature, i.e., multiple class labels are assigned to an instance simultaneously. Multi-label classification is a challenging problem due to the involvement of three forms of interactions, ...
- discussionJanuary 2024
CIS Publication Spotlight [Publication Spotlight]
IEEE Computational Intelligence Magazine (COMPINT), Volume 19, Issue 1Feb. 2024, Pages 24–77https://doi.org/10.1109/MCI.2023.3333472“Large-scale multiobjective optimization problems (LSMOPs) are characterized as optimization problems involving hundreds or even thousands of decision variables and multiple conflicting objectives. To solve LSMOPs, some algorithms designed a variety of ...
- research-articleJanuary 2024
Playing With Monte-Carlo Tree Search [AI-eXplained]
IEEE Computational Intelligence Magazine (COMPINT), Volume 19, Issue 1Feb. 2024, Pages 85–86https://doi.org/10.1109/MCI.2023.3328150This paper provides an accessible explanation of the working mechanism of Monte-Carlo Tree Search, an influential search algorithm. The paper summarizes the procedure of Monte-Carlo Tree Search, including selection, expansion, simulation, and ...
- research-articleOctober 2023
Group Formation by Group Joining and Opinion Updates Via Multi-Agent Online Gradient Ascent [AI-eXplained]
IEEE Computational Intelligence Magazine (COMPINT), Volume 18, Issue 4Nov. 2023, Pages 60–61https://doi.org/10.1109/MCI.2023.3304084This article aims to exemplify best-response dynamics and multi-agent online learning by group formation. This extended abstract provides a summary of the full paper in IEEE Computational Intelligence Magazine on the special issue AI-eXplained (AI-X). The ...
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- research-articleOctober 2023
RoCaSH2: An Effective Route Clustering and Search Heuristic for Large-Scale Multi-Depot Capacitated Arc Routing Problem
IEEE Computational Intelligence Magazine (COMPINT), Volume 18, Issue 4Nov. 2023, Pages 43–56https://doi.org/10.1109/MCI.2023.3304081The Multi-Depot Capacitated Arc Routing Problem (MDCARP) is an important combinatorial optimization problem with wide applications in logistics. Large Scale MDCARP (LSMDCARP) often occurs in the real world, as the problem size (e.g., number of edges/tasks)...
- research-articleOctober 2023
Learning Regularity for Evolutionary Multiobjective Search: A Generative Model-Based Approach
IEEE Computational Intelligence Magazine (COMPINT), Volume 18, Issue 4Nov. 2023, Pages 29–42https://doi.org/10.1109/MCI.2023.3304080The prior domain knowledge, i.e., the regularity property of continuous multiobjective optimization problems (MOPs), could be learned to guide the search for evolutionary multiobjective optimization. This paper proposes a learning-to-guide strategy (LGS) ...
- research-articleOctober 2023
Surrogate-Assisted Many-Objective Optimization of Building Energy Management
IEEE Computational Intelligence Magazine (COMPINT), Volume 18, Issue 4Nov. 2023, Pages 14–28https://doi.org/10.1109/MCI.2023.3304073Building energy management usually involves a number of objectives, such as investment costs, thermal comfort, system resilience, battery life, and many others. However, most existing studies merely consider optimizing less than three objectives since it ...
- research-articleAugust 2022
Exploring Dynamic Pandemic Containment Strategies Using Multi-Objective Optimization [Research Frontier]
IEEE Computational Intelligence Magazine (COMPINT), Volume 17, Issue 3Aug. 2022, Pages 54–65https://doi.org/10.1109/MCI.2022.3181347The SARS-CoV-2 pandemic demonstrates the vulnerability of societies in a globalized world. As pathogens spread at exponential rates, rapid development of appropriate medical treatments and distribution of vaccinations are major challenges. Under these ...
- research-articleAugust 2022
Comparing the Performance of Evolutionary Algorithms for Sparse Multi-Objective Optimization via a Comprehensive Indicator [Research Frontier]
IEEE Computational Intelligence Magazine (COMPINT), Volume 17, Issue 3Aug. 2022, Pages 34–53https://doi.org/10.1109/MCI.2022.3180913Many real-world multi-objective optimization problems (MOPs) are characterized by a large number of decision variables, where the decision variables are mostly set to zero in the Pareto optimal solutions. Although some multi-objective evolutionary ...
- research-articleFebruary 2022
Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary Algorithms [Research Frontier]
IEEE Computational Intelligence Magazine (COMPINT), Volume 17, Issue 1Feb. 2022, Pages 86–101https://doi.org/10.1109/MCI.2021.3129961The performance of a newly designed evolutionary algorithm is usually evaluated by computational experiments in comparison with existing algorithms. However, comparison results depend on experimental setting; thus, fair comparison is difficult. Fair ...
- tutorialAugust 2021
Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes]
IEEE Computational Intelligence Magazine (COMPINT), Volume 16, Issue 3Aug. 2021, Pages 79–94https://doi.org/10.1109/MCI.2021.3084495Rolling bearing fault diagnosis is an important task in mechanical engineering. Existing methods have several limitations, such as requiring domain knowledge and a large number of training samples. To address these limitations, this paper proposes a new ...
- research-articleAugust 2021
Self-Supervised Representation Learning for Evolutionary Neural Architecture Search
IEEE Computational Intelligence Magazine (COMPINT), Volume 16, Issue 3Aug. 2021, Pages 33–49https://doi.org/10.1109/MCI.2021.3084415Recently proposed neural architecture search (NAS) algorithms adopt neural predictors to accelerate architecture search. The capability of neural predictors to accurately predict the performance metrics of the neural architecture is critical to NAS, but ...
- discussionAugust 2021
Evolutionary Neural Architecture Search and Applications [Guest Editorial]
IEEE Computational Intelligence Magazine (COMPINT), Volume 16, Issue 3Aug. 2021, Pages 8–9https://doi.org/10.1109/MCI.2021.3084391This special issue has brought together researchers to report state-of-the-art contributions on the latest research and development, up-to-date issues, challenges, and applications in the field of ENAS. Following a rigorous peer review process, five ...
- research-articleFebruary 2021
Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios
IEEE Computational Intelligence Magazine (COMPINT), Volume 16, Issue 1Feb. 2021, Pages 34–48https://doi.org/10.1109/MCI.2020.3039067Minimax optimization is a widely-used formulation for robust design in multiple operating or environmental scenarios, where the worst-case performance among multiple scenarios is the optimization objective requiring a large number of quality assessments. ...
- research-articleFebruary 2021
Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research
IEEE Computational Intelligence Magazine (COMPINT), Volume 16, Issue 1Feb. 2021, Pages 22–33https://doi.org/10.1109/MCI.2020.3039066The evolutionary algorithm (EA) is a nature-inspired population-based search method that works on Darwinian principles of natural selection. Due to its strong search capability and simplicity of implementation, EA has been successfully applied to solve ...
- research-articleFebruary 2020
Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier]
IEEE Computational Intelligence Magazine (COMPINT), Volume 15, Issue 1Feb. 2020, Pages 52–63https://doi.org/10.1109/MCI.2019.2954644Ant colony optimization is a swarm intelligence metaheuristic inspired by the foraging behavior of some ant species. Ant colony optimization has been successfully applied to challenging optimization problems. This article investigates existing ant colony ...
- research-articleNovember 2019
Explicit Control of Implicit Parallelism in Decomposition-Based Evolutionary Many-Objective Optimization Algorithms [Research Frontier]
IEEE Computational Intelligence Magazine (COMPINT), Volume 14, Issue 4Nov. 2019, Pages 52–64https://doi.org/10.1109/MCI.2019.2937612Over the past two decades, Evolutionary Multi-objective Optimization (EMO) algorithms have demonstrated their ability to find and maintain multiple trade-off solutions in two and three-objective problems, making EMO as one of the most emergent and ...