This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

Contemporary urban planners optimize economic and ecological tradeoffs from different
landuses using raster models and homogeneous functional zones. However, ecosystem …