Many-objective evolutionary algorithms: A survey

B Li, J Li, K Tang, X Yao - ACM Computing Surveys (CSUR), 2015 - dl.acm.org
Multiobjective evolutionary algorithms (MOEAs) have been widely used in real-world
applications. However, most MOEAs based on Pareto-dominance handle many-objective …

[图书][B] Evolutionary algorithms for solving multi-objective problems

CAC Coello - 2007 - Springer
Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

Reducing the run-time complexity of multiobjective EAs: The NSGA-II and other algorithms

MT Jensen - IEEE Transactions on Evolutionary Computation, 2003 - ieeexplore.ieee.org
The last decade has seen a surge of research activity on multiobjective optimization using
evolutionary computation and a number of well performing algorithms have been published …

A multi-objective optimization approach for health-care facility location-allocation problems in highly developed cities such as Hong Kong

W Zhang, K Cao, S Liu, B Huang - Computers, Environment and Urban …, 2016 - Elsevier
Public health-care facilities are essential to all communities, and their location/allocation has
long been an important issue in urban planning. Given the steady growth of Hong Kong's …

Memetic algorithms for multiobjective optimization: issues, methods and prospects

J Knowles, D Corne - Recent advances in memetic algorithms, 2005 - Springer
The concept of optimization—finding the extrema of a function that maps candidate'solutions'
to scalar values of 'quality'—is an extremely general and useful idea that can be, and is …

Multi-objective particle swarm optimization based on global margin ranking

L Li, W Wang, X Xu - Information Sciences, 2017 - Elsevier
It is prevalent that the Pareto-based dominant framework is inefficient in non-dominated
sorting because the performance sharply deteriorates when there are numerous weak …

Locating the critical failure surface in a slope stability analysis by genetic algorithm

A Sengupta, A Upadhyay - Applied Soft Computing, 2009 - Elsevier
The slope stability analysis is routinely performed by engineers to evaluate the stability of
embankment dams, road embankments, river training works, excavations and retaining …

Interactive multi-objective evolutionary optimization of software architectures

A Ramirez, JR Romero, S Ventura - Information Sciences, 2018 - Elsevier
While working on a software specification, designers usually need to evaluate different
architectural alternatives to be sure that quality criteria are met. Even when these quality …

Land use optimization for a rapidly urbanizing city with regard to local climate change: Shenzhen as a case study

W Zhang, B Huang - Journal of Urban Planning and Development, 2015 - ascelibrary.org
Land use and land use change have been proven to be leading causes of local climate
change. In cities that undergo rapid urbanization, the urban heat island (UHI) can generate …

Optimization of distributed optical fiber temperature monitoring points based on 3D temperature field reconstruction

J Liu, F Wang, X Jiang, D Mao, X Wang - Thermal Science and …, 2024 - Elsevier
During the process of pouring an arch dam, it can be challenging to accurately determine
the temperature distribution of concrete pouring blocks. This paper uses distributed fiber …