A comprehensive survey on NSGA-II for multi-objective optimization and applications
H Ma, Y Zhang, S Sun, T Liu, Y Shan - Artificial Intelligence Review, 2023 - Springer
In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-
II) has attracted extensive research interests, and it is still one of the hottest research …
II) has attracted extensive research interests, and it is still one of the hottest research …
Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art
This paper presents a state-of-the-art review on multi-objective metaheuristics for multi-
objective discrete optimization problems (MODOPs). The relevant literature source and their …
objective discrete optimization problems (MODOPs). The relevant literature source and their …
Monthly runoff forecasting based on LSTM–ALO model
X Yuan, C Chen, X Lei, Y Yuan… - … research and risk …, 2018 - Springer
Accurate runoff forecasting plays an important role in management and utilization of water
resources. This paper investigates the accuracy of hybrid long short-term memory neural …
resources. This paper investigates the accuracy of hybrid long short-term memory neural …
A hybrid multi-objective evolutionary algorithm for solving an adaptive flexible job-shop rescheduling problem with real-time order acceptance and condition-based …
Production scheduling and maintenance planning are two of the most important tasks in the
modern manufacturing workshop. Meanwhile, due to the dynamic order arrival and real-time …
modern manufacturing workshop. Meanwhile, due to the dynamic order arrival and real-time …
Optimal power peak shaving using hydropower to complement wind and solar power uncertainty
Booming renewable energy development, such as wind and solar power, with their
intermittency and uncertainty characteristics, pose challenges for power grid dispatching …
intermittency and uncertainty characteristics, pose challenges for power grid dispatching …
Intelligent multiobjective optimization design for NZEBs in China: Four climatic regions
X Wu, X Li, Y Qin, W Xu, Y Liu - Applied Energy, 2023 - Elsevier
Near-zero-energy-consumption buildings (NZEBs) are of great significance for sustainable
development, and their design and research have attracted increasing academic attention …
development, and their design and research have attracted increasing academic attention …
Adaptive salp swarm algorithm for sustainable economic and environmental dispatch under renewable energy sources
Many developing nations face energy crises, in addition to the global warming issue, owing
to the recent increase in oil prices, accordingly, identifying the alternate energy sources. As …
to the recent increase in oil prices, accordingly, identifying the alternate energy sources. As …
Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model
Renewable energy resources such as wind, either individually or integrated with other
resources, are widely considered in different power system studies, especially self …
resources, are widely considered in different power system studies, especially self …
Evaluation of the risk and benefit of the complementary operation of the large wind-photovoltaic-hydropower system considering forecast uncertainty
Q Tan, X Wen, Y Sun, X Lei, Z Wang, G Qin - Applied energy, 2021 - Elsevier
The complementary operation of wind, photovoltaic and hydropower systems has the
potential to increase the integration of renewable energy sources into an existing grid …
potential to increase the integration of renewable energy sources into an existing grid …
Ant lion optimization for short-term wind integrated hydrothermal power generation scheduling
A novel nature inspired (NI) optimization algorithm, known as ant lion optimization (ALO) is
used in this paper for solving practical hydrothermal power generation scheduling (HTPGS) …
used in this paper for solving practical hydrothermal power generation scheduling (HTPGS) …