Introductory overview: Optimization using evolutionary algorithms and other metaheuristics
Environmental models are used extensively to evaluate the effectiveness of a range of
design, planning, operational, management and policy options. However, the number of …
design, planning, operational, management and policy options. However, the number of …
Role of foreign direct investment and economic growth in renewable energy development
X Wei, M Mohsin, Q Zhang - Renewable Energy, 2022 - Elsevier
Since China's economic reform, the country's economy has thrived. Chinese foreign direct
investment is attracting more and more attention throughout the globe. Although China's …
investment is attracting more and more attention throughout the globe. Although China's …
Impact of natural resources and technology on economic development and sustainable environment–Analysis of resources-energy-growth-environment linkages in …
H Kuang, Y Liang, W Zhao, J Cai - Resources Policy, 2023 - Elsevier
To examine the effects of technological advancements and natural resources in the energy-
growth-environment nexus for a panel of BRICS (Brazil, Russia, India, China, and South …
growth-environment nexus for a panel of BRICS (Brazil, Russia, India, China, and South …
Mixing-limited reactions in porous media
Mixing-driven reactions in porous media are ubiquitous and span natural and engineered
environments, yet predicting where and how quickly reactions occur is immensely …
environments, yet predicting where and how quickly reactions occur is immensely …
Adaptive, multiobjective optimal sequencing approach for urban water supply augmentation under deep uncertainty
Optimal long‐term sequencing and scheduling play an important role in many water
resources problems. The optimal sequencing of urban water supply augmentation options is …
resources problems. The optimal sequencing of urban water supply augmentation options is …
A sequential decision-making framework with uncertainty quantification for groundwater management
Groundwater contamination causes significant groundwater supply risks that severely affect
humans and livestock, especially in the era of climate change. Consequently, the need to …
humans and livestock, especially in the era of climate change. Consequently, the need to …
Emerging investigators series: a critical review of decision support systems for water treatment: making the case for incorporating climate change and climate extremes
Water treatment plants (WTPs) are tasked with providing safe potable water to consumers.
However, WTPs face numerous potential obstacles, including changes in source water …
However, WTPs face numerous potential obstacles, including changes in source water …
Improving the multi-objective evolutionary optimization algorithm for hydropower reservoir operations in the California Oroville–Thermalito complex
This study demonstrates the application of an improved Evolutionary optimization Algorithm
(EA), titled Multi-Objective Complex Evolution Global Optimization Method with Principal …
(EA), titled Multi-Objective Complex Evolution Global Optimization Method with Principal …
Incorporating deeply uncertain factors into the many objective search process
AA Watson, JR Kasprzyk - Environmental Modelling & Software, 2017 - Elsevier
This paper proposes an approach for including deeply uncertain factors directly into a multi-
objective search procedure, to aid in incorporating divergent quantitative scenarios within …
objective search procedure, to aid in incorporating divergent quantitative scenarios within …
Many-objective portfolio optimization approach for stormwater management project selection encouraging decision maker buy-in
Although formal simulation-optimization approaches have been shown to be able to identify
near-optimal outcomes for a range of stormwater management problems, stakeholder …
near-optimal outcomes for a range of stormwater management problems, stakeholder …