This paper presents an improved ant colony optimization algorithm (ACO algorithm) based on Ito differential equations, the proposed algorithm integrates the versatility of Ito thought with the accuracy of ACO algorithm in solving the vehicle routing problem (VRP), and it executes simultaneous move and wave process, and employs exercise ability to unify move and wave intensity. Move and wave ope...

Our primary aim is to design a framework to solve the well known traveling salesman problem(TSP) using combined approach of Ant Colony Optimization (ACO) and Genetic Algorithm (GA). Several solutions exists for the above problem using ACO or GA and even using a hybrid approach of ACO and GA. Our framework gives the optimal solution for the above problem by using the modular hybrid approach of A...

Dynamic travelling salesman problem (DTSP) is one of the optimization issues which it is not solvable with classical methods. To solve this problem, various solutions in the literature can be seen that each has advantages and disadvantages. Genetic Algorithm (GA) and Ant Colony Optimization (ACO) have been good to solve the DTSP. In this paper, we highlight a new algorithm by combining genetic ...

Dynamic travelling salesman problem (DTSP) is one of the optimization issues which it is not solvable with classical methods. To solve this problem, various solutions in the literature can be seen that each has advantages and disadvantages. Genetic Algorithm (GA) and Ant Colony Optimization (ACO) have been good to solve the DTSP. In this paper, we highlight a new algorithm by combining genetic ...

Ant Colony Optimization (ACO) is a heuristic bionic evolutive algorithm. In ACO algorithm, every ant has simple function, works with simple principle, which suits the characteristic of Wireless Sensor Networks (WSNs) and the request of its routing design. An ACO based Energy-Balance Routing Algorithm(ABEBR) was presented to balance the energy consumption in WSNs. Furthermore, a new pheromone up...

ACO ant colony optimization; CS cuckoo search; VSF voltage scaling factor; EcPSO extended compact particle swarm optimization Abstract Cloud computing slowly gained an important role in scientific application, on-demand facility of virtualized resources is provided as a service with the help of virtualization without any additional waiting time. Energy consumption is reduced for job scheduling ...

Software Regression Testing (SRT) helps with the modified code to ensure that no other new defects have been trained and significantly impact existing code. SRT is a time cost taking process. Test Case Prioritization (TCP) reschedule test cases (TC’S) picks according prioritization, which allows software testers maximize number of faults detected within given frame. Ant Colony Optimization (ACO...

Combining ant colony optimization (ACO) and multiobjective evolutionary algorithm based on decomposition (MOEA/D), this paper proposes a multiobjective evolutionary algorithm, MOEA/D-ACO. Following other MOEA/D-like algorithms, MOEA/D-ACO decomposes an multiobjective optimization problem into a number of single objective optimization problems. Each ant (i.e. agent) is responsible for solving on...

clustering is a widespread data analysis and data mining technique in many fields of study such as engineering, medicine, biology and the like. the aim of clustering is to collect data points. in this paper, a cultural algorithm (ca) is presented to optimize partition with n objects into k clusters. the ca is one of the effective methods for searching into the problem space in order to find a n...

Path planning is a fundamental optimization problem that is crucial for the navigation of a mobile robot. Among the vast array of optimization approaches, we focus in this paper on Ant Colony Optimization (ACO) and Genetic Algorithms (GA) for solving the global path planning problem in a static environment, considering their effectiveness in solving such a problem. Our objective is to design an...