الفهرس 
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Abstract
Highway construction presents a great sector in construction industry in
Egypt. During the last decade, the highway construction represents 48.51 %, where the flexible pavement roads represent 17.34% of the construction industry in Egypt. In road projects, many construction methods are available representing the availability of different types of materials and equipment crew configurations. The construction method is distinguished by the time and the cost consumed to achieve the project with the required quality in addition to the
pollution emissions released during construction. This thesis focus on selection of the optimal solutions to accomplish the project with high quality
performance, minimum time, minimum cost, and minimum pollution as well.
A newly developed framework is proposed to handle time-cost-quality-
environmental using multi-objective optimization. In this approach, two indices are introduced. One of them is the Highway Quality Performance Index (HQPI); the other is the Highway Environmental Pollution Index (REPI). HQPI is developed to quantify the highway quality at the activity and the project levels in Egypt. where the REPI is applied to estimate the generated pollution from each activity involved in the project as a result of dust, harmful gases and noise.
These two indices values are encountered in comparing different alternatives of construction methods.
Evolutionary genetic algorithms are applied to carry multi-objective
optimization, considering four objective functions time, cost, quality, and environmental. The optimization model provides the decision-makers with a set of optimal solutions to allow carrying out trade-off analysis in flexible manner.
An actual case study is worked out to investigate the accuracy of the parameters of the proposed frameworks.