HIGHLIGHTS
- who: Teddy Nurcahyadi from the Campus of the UAB, Bellaterra, Spain have published the paper: Negative Learning Ant Colony Optimization for MaxSAT, in the Journal: (JOURNAL)
- what: For providing stronger evidence of the general applicability of negative learning ACO the authors investigate how it can be adapted to solve the (MaxSAT). In the opinion , one of the main reasons for the success of negative learning in ACO is that, in addition to guiding the algorithm to promising areas of the search space due to positive learning, it also guides the algorithm away from making use . . .
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