In this work, we investigate the joint optimization of base station (BS) location, its density, and transmit power allocation to minimize the overall network operational cost required to meet an underlying coverage constraint at each user equipment (UE), which is randomly deployed following the binomial point process (BPP). As this joint optimization problem is nonconvex and combinatorial in na...

The allocation of risks among the contracting parties in a contract is an important decision affecting the project success. Some risks in a project are uncontrollable; these are imposed to a project by external factors. Since contracting parties can neither control nor affect the occurrence of such risks, their allocation to a party would be inequitable. Therefore the cost overrun related to un...

In Part I of this paper the development of allocated and incremental cost and revenue techniques was described. have become predominant. In contrast, methodologies for dealing with revenues, particularly incremental measures, are in their infancy. Part II of the paper describes the state-of-the-art for these methods. This review is explicitly not meant as a cookbook of methodology, and the read...

This manuscript does not include the tables or figures In Part I of this paper the development of allocated and incremental cost and revenue techniques was described. have become predominant. In contrast, methodologies for dealing with revenues, particularly incremental measures, are in their infancy. Part II of the paper describes the state-of-the-art for these methods. This review is explicit...

Ant Colony Optimization (ACO) is an evolutionary optimization algorithm inspired by the natural ability of colonies of ants to find the shortest path between their nest and food places by pheromone trail (Arnaout, 2013; Dorigo & Gambardella, 1997). In ACO algorithm, ants communicate information among themselves by leaving a trail using a chemical substance called pheromone. This chapter introdu...