Solving the Problem of Time, Cost, and Quality Trade-Off in Project Scheduling under Fuzzy Conditions Using Meta-Heuristic Algorithms

Balancing the project’s time, cost, and quality involves deciding on different implementation methods for each project activity. Time cost are minimized simultaneously, of final product or service is maximized. Indeed, use search to determine optimal execution activity requires evaluation review various performance criteria such as especially These measures, methods, reported recorded in inaccurate, ambiguous, vague numbers concepts. In this research, new have been proposed evaluate investigate trade-off conditions uncertainty. This means that by fuzzy number theory, specifications a included problem balancing quality. fact, considered triangular trapezoidal numbers. Also, multiattribute utility function approach (in which concept computational operators included) has used combinations activities. Since can be obtained with parameters involved an algorithm, Taguchi experimental design method adjust algorithm. To solve model, particle mass optimization algorithms artificial bee colonies also studied.