Keywords: construction management, project management, multi-objective optimization, time-cost optimization, evolutionary methods, genetic algorithms.

Time and cost are among the important aspects considered for every construction project. Construction projects are found throughout business and areas such as manufacturing facilities, infrastructure development and improvement, and residential and commercial building. Trade off optimization among project duration (time) and project cost is necessary to enhance overall construction project benefit. A new genetic algorithm based-approach to solving the time-cost optimization problem has been proposed. This approach combines a genetic algorithm, a schedule generation scheme and a local search with a new objective function. The chromosome representation of the problem is based on random keys. The schedules are constructed using a priority rule in which the priorities are defined by the genetic algorithm. Schedules are constructed using a procedure that generates parameterized active schedules. The present approach provides an attractive alternative for the solution of the construction multi-objective optimization problems.

purchase the full-text of this paper (price £20)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £50 +P&P)