Abstract
Optimization techniques keep road performance at a good level using a cost-effective maintenance strategy. Thus, the trade-off between cost and road performance is a multi-objective function. This paper offers a new multi-objective stochastic algorithm for discrete variables, which is called the integer search algorithm (ISA). This algorithm is applied to an optimal pavement maintenance management system (PMMS), where the variables are discrete. The PMMS optimization can be achieved by maximizing the condition of pavement with a minimum cost at specified constraints, so the PMMS is a constrained multi-objective problem. The ISA and genetic algorithm (GA) are applied to improve the performance condition rating (PCR) of the pavement in developing countries, where the annual budget is limited, so a minimum cost for three years’ maintenance is scheduled. Study results revealed that the ISA produced an optimal solution for multi-function objectives better than the optimal solution of GA.
Highlights
Roadways are considered the arteries of economic and social activities at the national and local levels
To continue in searching for methods to find the optimal solution supporting the decision making of pavement maintenance, this paper presents a new discrete stochastic algorithm called integer search algorithm (ISA) for the pavement management system
This paper has proposed a new discrete multi-objective stochastic algorithm based on the stochastic integer numbers, which is called integer search algorithm (ISA)
Summary
Roadways are considered the arteries of economic and social activities at the national and local levels. Limited budgets are the biggest difficulties and challenges facing the pavement maintenance. For this reason, the pavement maintenance activities should be managed within the available budget and resources [1]. A good pavement management program will preserve the condition of all road sections at an adequate high performance with minimum cost without any reverse effects on traffic operation, environment, or social activity [2]. Decision-makers need to have the methodologies for maintenance management to attain a sufficient level of service at a minimum cost [3]. In other words, optimizing the available budget allocation is needed for decision-makers to assist them in achieving the specified objectives of pavement performance under available budget and authority constraints [4]
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