[HTML][HTML] Robust optimisation of combined rainwater harvesting and flood mitigation systems
Combined large-scale rainwater harvesting (RWH) and flood mitigation systems are
promising as a sustainable water management strategy in urban areas. These are multi …
promising as a sustainable water management strategy in urban areas. These are multi …
An Overview of Recent Advances of Resilient Consensus for Multiagent Systems under Attacks
Consensus control of multiagent systems (MASs) has been one of the most extensive
research topics in the field of robotics and automation. The information sharing among the …
research topics in the field of robotics and automation. The information sharing among the …
A game theoretical approach for sub-transmission and generation expansion planning utilizing multi-regional energy systems
M Navidi, SMM Tafreshi… - International Journal of …, 2020 - Elsevier
This paper addresses a new method for sub-transmission and generation expansion
planning utilizing multi-regional energy systems (RGESs). A competitive market design is …
planning utilizing multi-regional energy systems (RGESs). A competitive market design is …
Model-based approaches for technology planning and roadmapping: Technology forecasting and game-theoretic modeling
I Yuskevich, K Smirnova, R Vingerhoeds… - … Forecasting and Social …, 2021 - Elsevier
This paper proposes a novel model-based approach to technology planning and
roadmapping, consisting of two complementary steps: technology forecasting and game …
roadmapping, consisting of two complementary steps: technology forecasting and game …
Cooperative-competitive two-stage game mechanism assisted many-objective evolutionary algorithm
Z Zhang, H Wang, W Zhang, Z Cui - Information Sciences, 2023 - Elsevier
It is critical to maintain significant convergence and diversity in many-objective optimization
problems (MaOPs) for the performance of many-objective evolutionary algorithms …
problems (MaOPs) for the performance of many-objective evolutionary algorithms …
Better approximation for distributed weighted vertex cover via game-theoretic learning
Toward better approximation for the minimum-weighted vertex cover (MWVC) problem in
multiagent systems, we present a distributed algorithm from the perspective of learning in …
multiagent systems, we present a distributed algorithm from the perspective of learning in …
Application of game theory in modern electrical power system (a review)
In recent decades, because of the speedy progress of the smart grid and the deepening of
the reforms of the energy system, demand-side users can contribute to the collaboration of …
the reforms of the energy system, demand-side users can contribute to the collaboration of …
A multi-agent distributed electricity-carbon shared trading strategy considering regional carbon inclusion
Y Zhang, Q Wu, H Ren, Q Li, W Zhou - Renewable Energy, 2024 - Elsevier
To achieve low-carbon economic dispatch within the regional integrated energy system and
fully exploit the carbon assets of multiple agents, a combined peer-to-peer (P2P) and …
fully exploit the carbon assets of multiple agents, a combined peer-to-peer (P2P) and …
[HTML][HTML] Cooperative multi-actor multi-criteria optimization framework for process integration
Paradigm shifts towards sustainable production systems, as intended by industrial symbiosis
and circular economy solutions, require multi-criteria decision-making and consensus …
and circular economy solutions, require multi-criteria decision-making and consensus …
Bi-level game theoretic approach for robust design: A case study of path-generating four-bar
This study addresses the bi-level multi-objective optimization problems (MOP) that raise in
robust design and optimization of engineering systems through establishing a state-of-the …
robust design and optimization of engineering systems through establishing a state-of-the …