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ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization
In the feasible phase, the tradeoff between diversity and convergence is considered to attain a set of well-converged and well-distributed feasible solutions.
Accurate and Efficient Similarity Search for Large Scale Face Recognition
The challenge 2 of MS-Celeb-1M is a classification task.
A Many-Objective Evolutionary Algorithm with Angle-Based Selection and Shift-Based Density Estimation
Specifically, the former is devised to find a pair of individuals with the minimum vector angle, which means that these two individuals share the most similar search direction.
An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms
In the evolutionary computation research community, the performance of most evolutionary algorithms (EAs) depends strongly on their implemented coordinate system.
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