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Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results

arXiv 1706.03470 ↗First posted 12 Jun 2017cs.NEcited by 11

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Abstract (arXiv)

In this report, we suggest nine test problems for multi-task single-objective optimization (MTSOO), each of which consists of two single-objective optimization tasks that need to be solved simultaneously. The relationship between tasks varies between different test problems, which would be helpful to have a comprehensive evaluation of the MFO algorithms. It is expected that the proposed test problems will germinate progress the field of the MTSOO research.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Jun 2017.

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Citing papers per year: 2021: 2; 2022: 1; 2023: 1; 2024: 1; 2025: 5; 2026: 1.

11 papers.

  1. 2025MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimizationcited by 9
  2. 2021Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directionscited by 7
  3. 2024Learning to Transfer for Evolutionary Multitaskingcited by 6
  4. 2023A Scalable Test Problem Generator for Sequential Transfer Optimizationcited by 5
  5. 2022A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networkscited by 4
  6. 2025Large Language Model as Meta-Surrogate for Data-Driven Many-Task Optimization: A Proof-of-Principle Studycited by 1
  7. 2025Learning Where, What and How to Transfer: A Multi-Role Reinforcement Learning Approach for Evolutionary Multitaskingcited by 1
  8. 2021Self-adaptive Multi-task Particle Swarm Optimizationcited by 0
  9. 2025Transfer of Knowledge through Reverse Annealing: A Preliminary Analysis of the Benefits and What to Sharecited by 0
  10. 2025Residual Learning Inspired Crossover Operator and Strategy Enhancements for Evolutionary Multitaskingcited by 0
  11. 2026In-Context Guidance: Learning Inter-Task Synergies via Numerical Foundational Models for Few-Shot Multitask Optimizationcited by 0