A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems
This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …
Salp swarm algorithm: a comprehensive survey
This paper completely introduces an exhaustive and a comprehensive review of the so-
called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of …
called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of …
Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments
N Rana, MSA Latiff, SM Abdulhamid… - Neural Computing and …, 2020 - Springer
Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …
A resilient and sustainable closed-loop supply chain using multiple sourcing and information sharing strategies
YZ Mehrjerdi, M Shafiee - Journal of Cleaner Production, 2021 - Elsevier
The interaction of sustainability and resilience has not been sufficiently addressed in the
supply chain literature. Applying sustainability and resilience concepts into a supply chain …
supply chain literature. Applying sustainability and resilience concepts into a supply chain …
A survey on feature selection approaches for clustering
The massive growth of data in recent years has led challenges in data mining and machine
learning tasks. One of the major challenges is the selection of relevant features from the …
learning tasks. One of the major challenges is the selection of relevant features from the …
[HTML][HTML] Multi-objective urban land use optimization using spatial data: A systematic review
MM Rahman, G Szabó - Sustainable Cities and Society, 2021 - Elsevier
Land use optimization is a promising approach to achieve urban sustainability. Despite the
increasing number of literature on land use optimization, a little investigation is made to …
increasing number of literature on land use optimization, a little investigation is made to …
[HTML][HTML] Towards low-carbon cities: Patch-based multi-objective optimization of land use allocation using an improved non-dominated sorting genetic algorithm-II
H Liu, F Yan, H Tian - Ecological Indicators, 2022 - Elsevier
The rational land use allocation is of great significance to the construction of low-carbon
cities. The optimization model of land use allocation is an important tool that helps urban …
cities. The optimization model of land use allocation is an important tool that helps urban …
A robust green traffic‐based routing problem for perishable products distribution
EB Tirkolaee, S Hadian, GW Weber… - Computational …, 2020 - Wiley Online Library
Nowadays, transportation and logistics are considered as the drivers of economic
development in the countries due to their impacts on the main variables of the country's …
development in the countries due to their impacts on the main variables of the country's …
Artificial intelligence for sustainable development of smart cities and urban land-use management
Z Masoumi, J van Genderen - Geo-spatial Information Science, 2023 - Taylor & Francis
The urban land-use allocation problem is a spatial optimization problem that allocates
optimum land-uses to specific land units in urban areas. This problem is an NP …
optimum land-uses to specific land units in urban areas. This problem is an NP …
Optimization of multi-objective multi-functional landuse zoning using a vector-based genetic algorithm
Contemporary urban planners optimize economic and ecological tradeoffs from different
landuses using raster models and homogeneous functional zones. However, ecosystem …
landuses using raster models and homogeneous functional zones. However, ecosystem …