A Hybrid Cuckoo-Gravitation Algorithm for Cost-optimized QFD Decision-Making Problem
نویسنده
چکیده
Utilizing QFD in the process of manufacturing and service performing is confronted with an optimization problem called QFD decision-making problem (QFDDMP). Facing many customer constraints and requirements, and huge number of customers in the target market have made QFDDMP a complex planning problem. Achieving optimal solution by which the products satisfy customers with lowest costing budget and minimum time requires employing House of Quality (HoQ). In this paper, by hybridizing the Gravitational Search Algorithm (GSA) as a local search technique and the Cuckoo Optimization Algorithm (COA) a new memetic algorithm (COGSA) is proposed and applied for solving QFDDMP. Using GSA part, COGSA can search more around best solutions found by COA and get more near to optimal. Comparing obtained results of COGSA, COA, genetic algorithm and particle swarm optimization has showed that COGSA is significantly stronger than other investigated algorithms in solving QFDDMP.
منابع مشابه
An Improved Hybrid Cuckoo Search Algorithm for Vehicle Routing Problem with Time Windows
Transportation in economic systems such as services, production and distribution enjoys a special and important position and provides a significant portion of the country's gross domestic product. Improvements in transportation system mean improvements in the traveling routes and the elimination of unnecessary distances in any system. The Vehicle Routing Problem (VRP) is one of the practical co...
متن کاملCapacitated Windy Rural Postman Problem with Several Vehicles: A Hybrid Multi-Objective Simulated Annealing Algorithm
This paper presents the capacitated Windy Rural Postman Problem with several vehicles. For this problem, two objectives are considered. One of them is the minimization of the total cost of all vehicle routes expressed by the sum of the total traversing cost and another one is reduction of the maximum cost of vehicle route in order to find a set of equitable tours for the vehicles. Mathematical ...
متن کاملDiagnosis of Coronary Artery Disease via a Novel Fuzzy Expert System Optimized by Cuckoo Search
In this paper, we propose a novel fuzzy expert system for detection of Coronary Artery Disease, using cuckoo search algorithm. This system includes three phases: firstly, at the stage of fuzzy system design, a decision tree is used to extract if-then rules which provide the crisp rules required for Coronary Artery Disease detection. Secondly, the fuzzy system is formed by setting the intervals ...
متن کاملA Hybrid Method Based on Fuzzy AHP and VIKOR for the Discrete Time-Cost-Quality Trade-off Problem
Time, cost and quality are considered as the main components in managing each project. Previous researches have mainly focused on the time-cost trade-off problems. Recently quality is considered as the most important factor in project�s success, which is influenced by time acceleration that is the less time is spent the more success is gained. In time-cost-quality trade-off problems, each act...
متن کاملA GA Model Development for Decision Making Under Reverse Logistics
Managing products’ end-of-life and recovery of used products is gaining significant importance during last years. Therefore, managing the reverse flow of products can be an important potential for winning consumers in future competitive markets. In this context, establishing reverse logistics networks is becoming a main problem in reverse supply chains. Genetic Algorithm (GA) is utilized to s...
متن کامل