[HTML][HTML] Robust optimisation of combined rainwater harvesting and flood mitigation systems

QY Soh, E O'Dwyer, S Acha, N Shah - Water Research, 2023 - Elsevier
Combined large-scale rainwater harvesting (RWH) and flood mitigation systems are
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

MM Aslam, Z Ahmed, L Du, MZ Hassan… - Computational …, 2022 - Wiley Online Library
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 …

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 …

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 …

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 …

Better approximation for distributed weighted vertex cover via game-theoretic learning

C Sun, H Qiu, W Sun, Q Chen, L Su… - … on Systems, Man …, 2021 - ieeexplore.ieee.org
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 …

Application of game theory in modern electrical power system (a review)

K Ullah, M Ishaq, MD Albalwi, E Bonyah, NF Hussain… - AIP Advances, 2024 - pubs.aip.org
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 …

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 …

[HTML][HTML] Cooperative multi-actor multi-criteria optimization framework for process integration

F Lechtenberg, L Aresté-Saló, A Espuña, M Graells - Applied Energy, 2025 - Elsevier
Paradigm shifts towards sustainable production systems, as intended by industrial symbiosis
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

B Ahmadi, A Jamali, R Mallipeddi… - Swarm and Evolutionary …, 2024 - Elsevier
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 …