Session details: Nature-inspired approaches
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Nature-inspired approach: a wind-driven water wave optimization algorithm
The water wave optimization (WWO) based on shallow water wave theory is a new nature-inspired optimization algorithm that imitates wave motion to solve optimization problems. But basic WWO has some disadvantages, such as low calculation accuracy and ...
Session details: Oral Session 3: Multimedia Applications (Oral presentations)
ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia RetrievalA stochastic nature inspired metaheuristic for clustering analysis
This paper presents a new stochastic nature inspired methodology, which is based on the concepts of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO), for optimally clustering N objects into K clusters. Due to the nature of stochastic ...
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![cover image ACM Conferences](/cms/asset/13c06c66-a07b-453b-89aa-28879ccb650a/1809036.cover.jpg)
- Program Chairs:
- Danny Weyns,
- Sam Malek,
- Jesper Andersson,
- Bradley Schmerl
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- IEEE
- University of Arizona: University of Arizona
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Association for Computing Machinery
New York, NY, United States
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