TY  - JOUR
T1  - Multi-Parameter Optimization of Cost Entropy for Reinforced Concrete
Office Building Projects using Ant Colony Optimization
AU - Amusan Lekan, M. AU - Ayo Charles, K. AU - Owolabi James, D. AU - Tunji-Olayeni, P. AU - Ayodeji, Ogunde 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 19
SP  - 5018
EP  - 5023
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.5018.5023
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.5018.5023
KW  - Optimization
KW  -ant colony
KW  -element’s
KW  -heuristic
KW  -entropy
KW  -parameter
AB  - Ant colony optimization is one of the conventional techniques used in providing solution
to multi-objective optimization situations where pareto optimal solution is desirable. The main aim of this
research work is to develop an optimization system for cost-entropy optimization logic and this study has
demonstrated succinctly the applicability of ant colony optimization algorithm in solving multi-conflicting
objectives situation in cost entropy trade-off of reinforced concrete office building projects. Average costs of
(14) elements of (20) selected projects were used for the analysis. The ant colony system devised was applied
on 14 in 20 elements of the sampled projects. An optimal solution obtained was validated within the context of
previous developed algorithm and was found to be consistent at prevailing currency equivalent. The model
with entropy scale developed in this study would enable a builder or contactor load iteratively, cost implication
of an unseen circumstance even on occasion of deferred cost reimbursement and would help in project cost
monitoring. The phenoromone type of cost and entropy generated can be spread iteratively on element’s cost
so as to forestall overrun and economic variants that can affect project cost negatively.
ER  -