4.7 Article

Solving Multitask Optimization Problems With Adaptive Knowledge Transfer via Anomaly Detection

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

A Unified Framework of Graph-Based Evolutionary Multitasking Hyper-Heuristic

Xingxing Hao et al.

Summary: Hyper-heuristics and evolutionary multitasking share similarities in search methods, and by combining the advantages of both, the optimization of problems can be accelerated, leading to increased generality.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)

Article Automation & Control Systems

Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II

Kavitesh Kumar Bali et al.

Summary: Humans are adept at identifying recurrent patterns in diverse situations, while AI systems strive to mimic such cognitive behavior. Evolutionary multitasking is explored as an effective means of solving multiple optimization tasks simultaneously, yet there is a known limitation in the inability to adapt transfer extent in a principled way.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Automation & Control Systems

Multifactorial Genetic Programming for Symbolic Regression Problems

Jinghui Zhong et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Evolutionary multitasking fuzzy cognitive map learning

Fang Shen et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II

Kavitesh Kumar Bali et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Artificial Intelligence

Self-Regulated Evolutionary Multitask Optimization

Xiaolong Zheng et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Artificial Intelligence

Multitasking Genetic Algorithm (MTGA) for Fuzzy System Optimization

Dongrui Wu et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

A Multifactorial Evolutionary Algorithm for Multitasking Under Interval Uncertainties

Jun Yi et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Artificial Intelligence

Multiobjective Multitasking Optimization Based on Incremental Learning

Jiabin Lin et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Proceedings Paper Computer Science, Artificial Intelligence

Quality Diversity for Multi-task Optimization

Jean-Baptiste Mouret et al.

GECCO'20: PROCEEDINGS OF THE 2020 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (2020)

Article Computer Science, Artificial Intelligence

An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization

Yongliang Chen et al.

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE (2020)

Article Computer Science, Artificial Intelligence

Offline Data-Driven Multiobjective Optimization: Knowledge Transfer Between Surrogates and Generation of Final Solutions

Cuie Yang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Artificial Intelligence

Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems

Alan Tan Wei Min et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

Article Computer Science, Artificial Intelligence

Generalized Multitasking for Evolutionary Optimization of Expensive Problems

Jinliang Ding et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

Article Automation & Control Systems

Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates

Jianping Luo et al.

IEEE TRANSACTIONS ON CYBERNETICS (2019)

Article Automation & Control Systems

Evolutionary Multitasking via Explicit Autoencoding

Liang Feng et al.

IEEE TRANSACTIONS ON CYBERNETICS (2019)

Article Computer Science, Artificial Intelligence

Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study

Hao Li et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

Article Computer Science, Artificial Intelligence

Adaptive multifactorial particle swarm optimisation

Zedong Tang et al.

CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY (2019)

Article Computer Science, Artificial Intelligence

Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms

Min Jiang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2018)

Article Computer Science, Artificial Intelligence

Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm

Vassilis Vassiliades et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2018)

Article Automation & Control Systems

Multiobjective Multifactorial Optimization in Evolutionary Multitasking

Abhishek Gupta et al.

IEEE TRANSACTIONS ON CYBERNETICS (2017)

Article Computer Science, Information Systems

A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

Anna L. Buczak et al.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2016)

Article Computer Science, Artificial Intelligence

Multifactorial Evolution: Toward Evolutionary Multitasking

Abhishek Gupta et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2016)

Article Multidisciplinary Sciences

Robots that can adapt like animals

Antoine Cully et al.

NATURE (2015)

Article Computer Science, Artificial Intelligence

Evolutionary multitasking in bi-level optimization

Abhishek Gupta et al.

COMPLEX & INTELLIGENT SYSTEMS (2015)

Article Computer Science, Theory & Methods

Anomaly detection

Varun Chandola et al.

ACM COMPUTING SURVEYS (2009)

Article Computer Science, Artificial Intelligence

A survey of outlier detection methodologies

VJ Hodge et al.

ARTIFICIAL INTELLIGENCE REVIEW (2004)

Review Engineering, Electrical & Electronic

Novelty detection: a review - part 1: statistical approaches

M Markou et al.

SIGNAL PROCESSING (2003)

Article Computer Science, Artificial Intelligence

A fast and elitist multiobjective genetic algorithm: NSGA-II

K Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)