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Paper VII.2

Optimum Resource Allocation in Construction Projects using Genetic Algorithms

K. Sathyanarayana, S. Rajeev, S.N. Kalidindi and V. Kalyanaraman

Department of Civil Engineering, Indian Institute of Technology, Madras, India

doi:10.4203/ccp.16.7.2

K. Sathyanarayana, S. Rajeev, S.N. Kalidindi, V. Kalyanaraman, "Optimum Resource Allocation in Construction Projects using Genetic Algorithms", in B.H.V. Topping, A.I. Khan, (Editors), "Neural Networks & Combinatorial Optimization in Civil & Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 147-150, 1993. doi:10.4203/ccp.16.7.2

Abstract

The resource allocation problem in construction scheduling consists of scheduling activities under resource limitations with the objective of minimizing the overall project duration. This is a large combinatorial problem when there are many activities requiring many resources. Genetic algorithms are search procedures that make use of the principles of natural genetics and natural selection, that are finding increasing application in solving large combinatorial problems. The paper describes the application of a simple genetic algorithm (SGA) for solving resource allocation problems.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 16 NEURAL NETWORKS & COMBINATORIAL OPTIMIZATION IN CIVIL & STRUCTURAL ENGINEERING Edited by: B.H.V. Topping and A.I. Khan Paper VII.2 Optimum Resource Allocation in Construction Projects using Genetic Algorithms K. Sathyanarayana, S. Rajeev, S.N. Kalidindi and V. Kalyanaraman Department of Civil Engineering, Indian Institute of Technology, Madras, India doi:10.4203/ccp.16.7.2 purchase the full-text of this paper Full Bibliographic Reference for this paper K. Sathyanarayana, S. Rajeev, S.N. Kalidindi, V. Kalyanaraman, "Optimum Resource Allocation in Construction Projects using Genetic Algorithms", in B.H.V. Topping, A.I. Khan, (Editors), "Neural Networks & Combinatorial Optimization in Civil & Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 147-150, 1993. doi:10.4203/ccp.16.7.2 Abstract The resource allocation problem in construction scheduling consists of scheduling activities under resource limitations with the objective of minimizing the overall project duration. This is a large combinatorial problem when there are many activities requiring many resources. Genetic algorithms are search procedures that make use of the principles of natural genetics and natural selection, that are finding increasing application in solving large combinatorial problems. The paper describes the application of a simple genetic algorithm (SGA) for solving resource allocation 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 £34 +P&P)
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