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Found 7 papers, 0 papers with code
A Knowledge-driven Memetic Algorithm for the Energy-efficient Distributed Homogeneous Flow Shop Scheduling Problem
Furthermore, several algorithmic improvements including update strategy, local search strategy, and carbon reduction strategy are employed to improve the search performance of the algorithm.
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
Reinforcement learning (RL) integrated as a component in the EA framework has demonstrated superior performance in recent years.
A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching
The RL-GP adopts the ensemble population strategies.
Ensemble Reinforcement Learning: A Survey
By offering guidance for future scientific research and engineering applications, this survey significantly contributes to the advancement of ERL.
Mathematical Models and Reinforcement Learning based Evolutionary Algorithm Framework for Satellite Scheduling Problem
The complexity of many types of satellite mission planning problems is NP-hard and places high demands on the solution.
A Tent Lévy Flying Sparrow Search Algorithm for Feature Selection: A COVID-19 Case Study
After verification by the CEC2020 benchmark function, TFSSA is used to select the best feature combination to maximize classification accuracy and minimize the number of selected features.
RL-GA: A Reinforcement Learning-Based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem
In this way, the search information can be effectively used by the reinforcement learning method.
