Abstract

Author: Marzouk Mohamed , Moselhi Osama

Journal: Canadian Journal of Civil Engineering

ISSN: 1208-6029

Published: 2003-08-01

Volume: 30

Pages: 673-683

This paper presents a constraint-based genetic algorithm dedicated to optimizing earthmoving operations. The algorithm aims to minimize the total cost of earthmoving operations, accounting for efficient use of the selected equipment fleet. Total cost, duration, and utilization of the equipment fleets involved are estimated via computer simulation and passed to the developed algorithm to optimize fleet selection. Users specify the lower limits of equipment utilization as constraints that guide the algorithm search. The developed algorithm has powerful features: (i) it runs in canonical and genitor forms and (ii) it allows normalization of fitness values of chromosomes using three methods, namely inversion, linear ranking, and nonlinear ranking normalization. The algorithm supports roulette wheel and tournament methods for random selection of chromosomes. Crossover can be applied in a discrete or arithmetic form. In addition, the algorithm performs its computations in an efficient manner by elite best-fit chromosome in all generations and by storing chromosome information in its database. The proposed algorithm is explained in the context of a numerical example to clarify its useful features.

• construction management
• Fazio's student: thesis : Moselhi, O. (1978) thesis

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2. Data acquisition and analysis for highway construction using geographic information systems
3. Estimating weather impact on the duration of construction activities
4. Resource-driven scheduling of repetitive activities
5. Simulation optimization for earthmoving operations using genetic algorithms
6. Web-based integrated project control system