Resources

Benchmarks and Datasets

1. Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment, [RLXBench]
2. Benchmark Dataset for Optimization-based Non-intrusive Load Monitoring (NILM), [NILM-bench-suite]

Open Source Codes

1. IcSDE+ -- An Indicator for Constrained Multi-Objective Optimization, [cISDE+]
2. CMA-ES with ensemble of mutations for Parking Navigation and Maneuver of Autonomous Vehicles, [mCMA-ES]
3. Multi-indicator based multi-objective evolutionary algorithm with application to neural architecture search, [cISDE+]

EC Platforms

1. Evolutionary multi-objective optimization platform, [PlatEMO]
2. Multi-objective Optimization in Python, [Pymoo]
3. COCO: COmparing Continuous Optimizers, [COCO]

Deep Learning Frameworks

1. Deep learning API written in Python, [Keras]
2. Deep learning API written in Python, [Pytorch]