Time-cost trade off problem is one of the highly important issues in project accomplishment and has been ever taken into consideration by project managers. Time and cost as two critical objectives of construction project management, are not independent but intricately related. Time-cost optimization may be defined as a process to identify suitable construction activities for speeding up, and fo...

nowadays, the environmental impact of transportation project and, especially air pollution impacts, are major concerns in evaluating transportation projects. based on this concern, beside definition of traditional objective functions like total travel time and total investment cost, different type of environmental related function is considered as objective function in urban network design. in ...

Composite RCS building frames integrate reinforced concrete columns with structural steel beams to provide an efficient solution for the design and construction of earthquake-resisting structures. In this paper, an optimization framework is developed for performance-based seismic design of planar RCS moment resisting frames. The objective functions are defined as minimizing the construction cos...

This paper deals with a multi-objective optimization of a novel micro solar driven combined power and ejector refrigeration system (CPER). The system combines an organic Rankine cycle (ORC) with an ejector refrigeration cycle to generate electricity and cold capacity simultaneously. Major thermodynamic parameters, namely turbine inlet temperature, turbine inlet pressure, turbine back pressure, ...

Wind power has been widely considered in recent years as an available and a clean renewable energy source. The cost of wind energy production is currently the main issue, and increasing the size of wind turbines can reduce wind energy production costs. Hence, megawatt wind turbines are being rapidly developed in recent years. In this paper, an aerodynamic analysis of the NREL 5MW turbine is...

The p-median problem is one of the discrete optimization problem in location theory which aims to satisfy total demand with minimum cost. A high-level algorithmic approach can be specialized to solve optimization problem. In recent years, meta-heuristic methods have been applied to support the solution of Combinatorial Optimization Problems (COP). Collision Bodies Optimization algorithm (CBO) a...

This article presents an approach of the cost model used in join optimization. The search space is determined through transformations on the query blocks, depending on the selection predicate. Different implementations of the JOIN operator are taken into account for cost evaluation of the execution plans. Subject Classification: 168P15.

A major advantage of Bayesian optimization is that it generally requires fewer function evaluations than optimization methods that do not exploit the intrinsic uncertainty associated with the task. The ability to perform well with fewer evaluations of the target function makes the Bayesian approach to optimization particularly compelling when that target distribution is expensive to evaluate. T...

The long-term goal of our research is to develop a top-down transformation-based and cost-based optimizer for object queries. Relational optimization techniques have been widely and successfully adopted. Thus, the primary task of object query optimization is to adapt relational techniques, and meanwhile to invent new techniques, to address the new features in object query languages such as meth...