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- discussionJanuary 2024
Guest Editorial: AI-eXplained (Part II) [Guest Editorial]
IEEE Computational Intelligence Magazine (COMPINT), Volume 19, Issue 1Feb. 2024, Pages 76–77https://doi.org/10.1109/MCI.2023.3333130Thanks to the many submissions we have received, we can present this second part of our special issue on “AI-eXplained.” In here, we continue our mission to demystify the intricate world of artificial intelligence and make it accessible to a broader ...
- research-articleJanuary 2024
AI in Industrial IoT Cybersecurity [Industrial and Governmental Activities]
IEEE Computational Intelligence Magazine (COMPINT), Volume 19, Issue 1Feb. 2024, Pages 14–15https://doi.org/10.1109/MCI.2023.3332547Ai's role within the domain of Industrial IoT (IIoT) is somewhat obscured by other limelight-stealing feats of AI, such as the creation of convincing deep fakes featuring politicians or celebrities. However, the critical importance of IIoT in domains like ...
- 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, ...
- research-articleJanuary 2024
Forward Composition Propagation for Explainable Neural Reasoning
IEEE Computational Intelligence Magazine (COMPINT), Volume 19, Issue 1Feb. 2024, Pages 26–35https://doi.org/10.1109/MCI.2023.3327834This paper proposes an algorithm called Forward Composition Propagation (FCP) to explain the predictions of feed-forward neural networks operating on structured classification problems. In the proposed FCP algorithm, each neuron is described by a ...
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- 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 ...
- discussionJanuary 2024
CIS-ing in an Uncertain World [President's Message]
IEEE Computational Intelligence Magazine (COMPINT), Volume 19, Issue 1Feb. 2024, Pages 4–5https://doi.org/10.1109/MCI.2023.3332465I am deeply honored to serve as the President of the IEEE Computational Intelligence Society (CIS) for 2024-2025. I had never imagined that I would become the President of our society when I joined IEEE at the 1998 World Congress on Computational ...
- research-articleJanuary 2024
An Interactive Approach to Build Fuzzy Color Spaces [AI-eXplained]
IEEE Computational Intelligence Magazine (COMPINT), Volume 19, Issue 1Feb. 2024, Pages 83–84https://doi.org/10.1109/MCI.2023.3328151In this paper, the idea of a fuzzy color and a fuzzy color space is shown in an interactive way. It is proposed several interactive elements, where readers can understand the different steps to build them. Furthermore, these elements allow the user to ...
- 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-articleJanuary 2024
How to Build Self-Explaining Fuzzy Systems: From Interpretability to Explainability [AI-eXplained]
IEEE Computational Intelligence Magazine (COMPINT), Volume 19, Issue 1Feb. 2024, Pages 81–82https://doi.org/10.1109/MCI.2023.3328098Fuzzy systems are known to provide not only accurate but also interpretable predictions. However, their explainability may be undermined if non-semantically grounded linguistic terms are used. Additional non-trivial challenges would arise if a prediction ...
- research-articleJanuary 2024
Interactive Augmentations, Features, and Parameters for Contrastive Learning [AI-eXplained]
IEEE Computational Intelligence Magazine (COMPINT), Volume 19, Issue 1Feb. 2024, Pages 79–80https://doi.org/10.1109/MCI.2023.3328097Recently, contrastive learning has shown its effectiveness in self-supervised learning by training features of augmentations of input images based on the contrastive loss. This paper aims to introduce contrastive learning and discuss the effects of ...
- research-articleJanuary 2024
SPAIC: A Spike-Based Artificial Intelligence Computing Framework
IEEE Computational Intelligence Magazine (COMPINT), Volume 19, Issue 1Feb. 2024, Pages 51–65https://doi.org/10.1109/MCI.2023.3327842Neuromorphic computing is an emerging research field that aims to develop new intelligent systems by integrating theories and technologies from multiple disciplines, such as neuroscience, deep learning and microelectronics. Various software frameworks ...
- obituaryOctober 2023
Obituary for Michio Sugeno [In Memoriam]
IEEE Computational Intelligence Magazine (COMPINT), Volume 18, Issue 4Nov. 2023, Pages 8–9https://doi.org/10.1109/MCI.2023.3311953Recounts the career and contributions of Michio Sugeno.
- discussionOctober 2023
AI-Explained (Part I) [Guest Editorial]
IEEE Computational Intelligence Magazine (COMPINT), Volume 18, Issue 4Nov. 2023, Pages 58–59https://doi.org/10.1109/MCI.2023.3306191As we witness the remarkable progress of artificial intelligence (AI) over the last decade, its potential to address real-world complexities and revolutionize various fields has become evident. From image processing to natural language translation, AI ...
- discussionOctober 2023
CIS Publication Spotlight [Publication Spotlight]
- Yongduan Song,
- Dongrui Wu,
- Carlos A. Coello Coello,
- Georgios N. Yannakakis,
- Huajin Tang,
- Yiu-Ming Cheung,
- Hussein Abbass
IEEE Computational Intelligence Magazine (COMPINT), Volume 18, Issue 4Nov. 2023, Pages 10–12https://doi.org/10.1109/MCI.2023.3306163Presents summaries of recent books published in the area of computational intelligence.
- research-articleOctober 2023
Monte Carlo and Temporal Difference Methods in Reinforcement Learning [AI-eXplained]
IEEE Computational Intelligence Magazine (COMPINT), Volume 18, Issue 4Nov. 2023, Pages 64–65https://doi.org/10.1109/MCI.2023.3304145Reinforcement learning (RL) is a subset of machine learning that allows intelligent agents to acquire the ability of executing desired actions through interactions with an environment. Its remarkable progress has achieved significant results in diverse ...
- tutorialOctober 2023
Correspondence-Free Point Cloud Registration Via Feature Interaction and Dual Branch [Application Notes]
IEEE Computational Intelligence Magazine (COMPINT), Volume 18, Issue 4Nov. 2023, Pages 66–79https://doi.org/10.1109/MCI.2023.3304144Point cloud registration, which effectively coincides the source and target point clouds, is generally implemented by geometric metrics or feature metrics. In terms of resistance to noise and outliers, feature-metric registration has less error than the ...
- 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 ...
- 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) ...