Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Solving airline crew scheduling problems by branch-and-cut
Management Science
A genetic algorithm for public transport driver scheduling
Computers and Operations Research - Special issue on genetic algorithms
A constraint programming pre-processor for a bus driver scheduling system
DIMACS workshop on on Constraint programming and large scale discrete optimization
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Incomplete Information: Rough Set Analysis
Incomplete Information: Rough Set Analysis
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Branch-And-Price: Column Generation for Solving Huge Integer Programs
Operations Research
A Heuristic Method for the Set Covering Problem
Operations Research
A Set Partitioning Approach to the Crew Scheduling Problem
Operations Research
An indirect genetic algorithm for a nurse-scheduling problem
Computers and Operations Research
Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning (Studies in Computational Intelligence)
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Business Intelligence: Data Mining and Optimization for Decision Making
Business Intelligence: Data Mining and Optimization for Decision Making
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
A heuristic method for analyzing driver scheduling problem
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A New Rough Sets Model Based on Database Systems
Fundamenta Informaticae - The 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Conputing (RSFDGrC 2003)
Dynamic Assignment of Crew Reserve in Airlines
International Journal of Applied Metaheuristic Computing
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This paper presents Bus Driver Allocation Problem (BDAP) which deals with the assignment of the drivers to the scheduled duties so that operations costs are minimized while its solution meets hard constraints resulting from the safety regulations of public transportation authorities as well as from the internal company's agreements. Another concern in this study is the overall satisfaction of the drivers since it has important consequences on the quality and economic return of the company operations. This study proposes a non-dominated bi-criteria allocation approach of bus drivers to trips while minimizing the operations cost and maximizing the level of satisfaction of drivers. This paper proposes a new mathematical formulation to model the allocation problem. Its complexity has lead to solving the BDAP by using techniques such as: Genetic algorithms in order to assign the drivers with minimal operations cost and Fuzzy Logic and Rough Set techniques in order to fuzzyfied some parameters required for the satisfaction module followed by applying the Rough Set technique to evaluate the degree of satisfaction for the drivers. The application of the proposed approach to a medium size Transport Company Bus Driver Allocation Problem is evaluated.