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Found 6 papers, 0 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.
Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality
In this paper, we scale evolutionary algorithms to high-dimensional optimization problems that deceptively possess a low effective dimensionality (certain dimensions do not significantly affect the objective function).
Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards
There is a growing demand of automatically synthesizing co-speech gestures for virtual characters.
Half a Dozen Real-World Applications of Evolutionary Multitasking, and More
Until recently, the potential to transfer evolved skills across distinct optimization problem instances (or tasks) was seldom explored in evolutionary computation.
Multi-Space Evolutionary Search for Large-Scale Optimization
This paper thus proposes a new search paradigm, namely the multi-space evolutionary search, to enhance the existing evolutionary search methods for solving large-scale optimization problems.
A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation
The infeasible parts of the objective space in difficult many-objective optimization problems cause trouble for evolutionary algorithms.
