HIGHLIGHTS
- who: Juliana Castaneda and collaborators from the Computer Science Department, Universitat Oberta de Catalunya, Barcelona, Spain Department, University of Modena and Reggio Emilia, Modena, Italy have published the research: Biased-Randomized Discrete-Event Heuristics for Dynamic Optimization with Time Dependencies and Synchronization, in the Journal: Algorithms 2022, 15, 289. of /2022/
- what: As the paper discusses in detail the proposed hybrid approach allows the authors to efficiently tackle optimization problems with complex synchronization issues.
- how: This paper discusses a hybrid approach in which a heuristic is driven by a list of discrete events . . .
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