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Found 3 papers, 1 papers with code
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization
This paper pioneers a practical TrEO benchmark suite, integrating problems from the literature categorized based on the three essential aspects of Big Source Task-Instances: volume, variety, and velocity.
Preference Incorporation into Many-Objective Optimization: An Outranking-based Ant Colony Algorithm
In this paper, we enriched Ant Colony Optimization (ACO) with interval outranking to develop a novel multiobjective ACO optimizer to approach problems with many objective functions.
AdaSwarm: Augmenting Gradient-Based optimizers in Deep Learning with Swarm Intelligence
This paper introduces AdaSwarm, a novel gradient-free optimizer which has similar or even better performance than the Adam optimizer adopted in neural networks.
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