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 …
A demand responsive public transport for a spatially scattered population in a develo** country
A Anburuvel, W Perera, R Randeniya - Case Studies on Transport Policy, 2022 - Elsevier
Rural areas in develo** countries suffer from substandard public transit services. The
authorities find it difficult to provide quality transport primarily due to budget constraints …
authorities find it difficult to provide quality transport primarily due to budget constraints …
A hybrid of K-means and genetic algorithm to solve a bi-objective green delivery and pick-up problem
Emissions of hazardous greenhouse gases from vehicles poses a remarkable threat to the
environment. This study considers a bi-objective green delivery and pick-up problem …
environment. This study considers a bi-objective green delivery and pick-up problem …
Integrated airport pavement management using a hybrid approach of Markov Chain and supervised multi-objective genetic algorithms
An airport pavement management system is of great significance in terms of allocating
budget and resources as well as preserving the level of serviceability and safety. In order to …
budget and resources as well as preserving the level of serviceability and safety. In order to …
Online clustering reduction based on parametric and non-parametric correlation for a many-objective vehicle routing problem with demand responsive transport
In this paper, we address an online dimensionality reduction approach to deal with a many-
objective formulation of a Vehicle Routing Problem with a Demand Responsive Transport …
objective formulation of a Vehicle Routing Problem with a Demand Responsive Transport …
Optimizing construction time, cost, and quality: a hybrid AHP-NSGA-II optimization model
In construction projects, the simultaneous optimization of time, cost, and quality remains a
paramount challenge due to their inherent trade-offs. This paper provides an innovative …
paramount challenge due to their inherent trade-offs. This paper provides an innovative …
[PDF][PDF] Vehicle routing problem for the minimization of perishable food damage considering road conditions
Transportation is one of the activities in which perishable food products may suffer
mechanical damage, which translates into a substantial loss of quality and product value …
mechanical damage, which translates into a substantial loss of quality and product value …
Analysis on the importance rank of service components of autonomous mobility-on-demand service by potential user groups
S Seo, J Kim, J Lee, B Yang - The Journal of The Korea Institute of …, 2022 - koreascience.kr
In the near future, it is expected that the use of autonomous mobility-on-demand services will
increase. Considering its complicated service components, including vehicle convenience …
increase. Considering its complicated service components, including vehicle convenience …
Repositioning shared urban personal transport units: Considerations of travel cost and demand uncertainty
Operators of personal transport units (PTUs) face the challenge of intelligently balancing the
locational demand and supply of PTUs in order to mitigate surpluses or deficits at PTU …
locational demand and supply of PTUs in order to mitigate surpluses or deficits at PTU …
Optimizing trade-off between time, cost, and carbon emissions in construction using NSGA-III: an integrated approach for sustainable development
AP Behera, M Chauhan, G Shrivastava, P Singh… - Asian Journal of Civil …, 2025 - Springer
The construction industry faces the critical challenge of balancing project time, cost, and
carbon emissions to achieve sustainable development. This study introduces a Time–Cost …
carbon emissions to achieve sustainable development. This study introduces a Time–Cost …