Many-objective evolutionary algorithms: A survey
Multiobjective evolutionary algorithms (MOEAs) have been widely used in real-world
applications. However, most MOEAs based on Pareto-dominance handle many-objective …
applications. However, most MOEAs based on Pareto-dominance handle many-objective …
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
The development and application of evolutionary algorithms (EAs) and other metaheuristics
for the optimisation of water resources systems has been an active research field for over …
for the optimisation of water resources systems has been an active research field for over …
Many objective robust decision making for complex environmental systems undergoing change
This paper introduces many objective robust decision making (MORDM). MORDM combines
concepts and methods from many objective evolutionary optimization and robust decision …
concepts and methods from many objective evolutionary optimization and robust decision …
Evolutionary multiobjective optimization in water resources: The past, present, and future
This study contributes a rigorous diagnostic assessment of state-of-the-art multiobjective
evolutionary algorithms (MOEAs) and highlights key advances that the water resources field …
evolutionary algorithms (MOEAs) and highlights key advances that the water resources field …
Exploratory modeling for analyzing coupled human-natural systems under uncertainty
Modeling is a crucial approach for understanding the past and exploring the future of
coupled human-natural systems. However, uncertainty in various forms challenges …
coupled human-natural systems. However, uncertainty in various forms challenges …
A survey on multi-objective evolutionary algorithms for many-objective problems
Multi-objective evolutionary algorithms (MOEAs) are well-suited for solving several complex
multi-objective problems with two or three objectives. However, as the number of conflicting …
multi-objective problems with two or three objectives. However, as the number of conflicting …
State of the art for genetic algorithms and beyond in water resources planning and management
During the last two decades, the water resources planning and management profession has
seen a dramatic increase in the development and application of various types of …
seen a dramatic increase in the development and application of various types of …
Lost in optimisation of water distribution systems? A literature review of system design
H Mala-Jetmarova, N Sultanova, D Savic - Water, 2018 - mdpi.com
Optimisation of water distribution system design is a well-established research field, which
has been extremely productive since the end of the 1980s. Its primary focus is to minimise …
has been extremely productive since the end of the 1980s. Its primary focus is to minimise …
[HTML][HTML] The Exploratory Modeling Workbench: An open source toolkit for exploratory modeling, scenario discovery, and (multi-objective) robust decision making
JH Kwakkel - Environmental Modelling & Software, 2017 - Elsevier
There is a growing interest in model-based decision support under deep uncertainty,
reflected in a variety of approaches being put forward in the literature. A key idea shared …
reflected in a variety of approaches being put forward in the literature. A key idea shared …
Two-objective design of benchmark problems of a water distribution system via MOEAs: Towards the best-known approximation of the true Pareto front
Q Wang, M Guidolin, D Savic… - Journal of Water …, 2015 - ascelibrary.org
Various multiobjective evolutionary algorithms (MOEAs) have been applied to solve the
optimal design problems of a water distribution system (WDS). Such methods are able to …
optimal design problems of a water distribution system (WDS). Such methods are able to …