IntroductionThe construction industry is notorious for budget overruns and delays. there are several concrete examples of the aforementioned failures. It is claimed that planning is the key to success or failure. Eisenhower, the former American president, famously said, “In preparing for battle, I have always found that plans are useless, but planning is indispensable.” Planning is divided into three levels from strategic planning, tactical planning and operational planning. The success of organizations depends on formulating good planning and aligning planning levels from top to bottom. Strategic and tactical operational pyramid [1] In construction, company strategy consists of formulating the organization's policy which is then transformed into procedures. which are aligned with the policy created during the strategic planning phase. The procedures are then used to govern execution planning. This research will focus on execution planning and more specifically on the construction planning optimization problem. Hypothesis The purpose of this research is to answer the following questions: How do construction planners plan projects? To what extent are optimization techniques involved in the planning process? construction professionals map various planning tools to different projects? Furthermore, the aim of the research is to solve the problem of solving linear schedules under uncertainty. Problem Statement The construction schedule optimization (CSO) problem, its main objective is to achieve the optimal sequence of tasks and then allocate resources to the tasks. The problem and the complexity of the problem mean that it tries to optimize conflicting objectives. For example...... middle of document ......ty analysis of trade-offs for highway construction. ASCE Journal of Construction Engineering and Management Singiresu S. Rao (2009). Theory and Practice of Engineering Optimization 4th Edition. John Wiley & Sons: Hoboken, NJKelley JE and Walker MR (1959). Critical path planning and planning. Proceedings of the Eastern Joint Computer Conference. New York, USA, pp 160 – 173. Moselhi O and El-Rayes K (1993). Planning of repetitive projects with cost optimization. ASCE Journal of Construction Engineering and Management. 119(4):681-697Senouci AB and Eldin NN (2004). Use of Genetic Algorithm in Resource Planning of Construction Projects. ASCE Journal of Construction Engineering and Management 130(6):869-877.Zhang H, Li H, and Tam CM (2006). Particle swarm optimization for project planning with limited resources. International Journal of Project Management 24(1):83-92