TY  - BOOK
AU  - Kang,Min-Wook
AU  - Schonfeld,Paul
TI  - Artificial intelligence in highway location and alignment optimization: applications of genetic algorithms in searching, evaluating, and optimizing highway location and alignments 
SN  - 9789813272804
AV  - TE 175 .K25 2021
PY  - 2021///]
CY  - New Jersey
PB  - World Scientific
KW  - Roads
KW  - Design and construction
KW  - Mathematical models
KW  - Highway planning
KW  - Genetic algorithms
KW  - Artificial intelligence
KW  - Engineering applications
KW  - Mathematical optimization
N1  - Includes bibliographical references (pages 255-269) and index; Overview of highway location and alignment optimization problem: Introduction -- Highway cost and constraints -- Review of artificial intelligence-based models for optimizing highway location and alignment design -- Highway alignment optimization with genetic algorithms: Modeling highway alignments with genetic algorithms -- Highway alignment optimization formulation -- Constraint handling for evolutionary algorithms -- Highway alignment optimization through feasible gates -- Prescreening and repairing in highway alignment optimization -- Optimizing simple highway networks: An extension of genetic algorithms-based highway alignment optimization: Overview of discrete network design problem -- Bi-level highway alignment optimization within a small highway network -- Bi-level HAO model application example -- Highway alignment optimization model applications and extensions: HAO model application in Maryland Brookeville bypass project -- HAO model application in US 220 project -- HAO model application in Maryland ICC project -- Related developments and extensions
ER  -