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An improved ant colony optimization approach for optimization of process planning.

Wang J, Fan X, Ding H - ScientificWorldJournal (2014)

Bottom Line: In this paper, process planning problem is described based on a weighted graph, and an ant colony optimization (ACO) approach is improved to deal with it effectively.A case has been carried out to study the influence of various parameters of ACO on the system performance.Extensive comparative experiments have been carried out to validate the feasibility and efficiency of the proposed approach.

View Article: PubMed Central - PubMed

Affiliation: School of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China.

ABSTRACT
Computer-aided process planning (CAPP) is an important interface between computer-aided design (CAD) and computer-aided manufacturing (CAM) in computer-integrated manufacturing environments (CIMs). In this paper, process planning problem is described based on a weighted graph, and an ant colony optimization (ACO) approach is improved to deal with it effectively. The weighted graph consists of nodes, directed arcs, and undirected arcs, which denote operations, precedence constraints among operation, and the possible visited path among operations, respectively. Ant colony goes through the necessary nodes on the graph to achieve the optimal solution with the objective of minimizing total production costs (TPCs). A pheromone updating strategy proposed in this paper is incorporated in the standard ACO, which includes Global Update Rule and Local Update Rule. A simple method by controlling the repeated number of the same process plans is designed to avoid the local convergence. A case has been carried out to study the influence of various parameters of ACO on the system performance. Extensive comparative experiments have been carried out to validate the feasibility and efficiency of the proposed approach.

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Related in: MedlinePlus

Weighted graph for the example part.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig2: Weighted graph for the example part.

Mentions: Figure 2 is the weighted graph for the example part. The set of nodes includes five nodes, O1, O2, O3, O4, and O5, which represent the operations OP1, OP2, OP3, OP4, and OP5. The set of directed arcs includes four arcs, C1, C2, C3, and C4, which represent the precedence constraints 1, 2, 3, and 4. The set of undirected arcs includes six arcs, U1, U2, U3, U4, U5, and U6.


An improved ant colony optimization approach for optimization of process planning.

Wang J, Fan X, Ding H - ScientificWorldJournal (2014)

Weighted graph for the example part.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4109124&req=5

fig2: Weighted graph for the example part.
Mentions: Figure 2 is the weighted graph for the example part. The set of nodes includes five nodes, O1, O2, O3, O4, and O5, which represent the operations OP1, OP2, OP3, OP4, and OP5. The set of directed arcs includes four arcs, C1, C2, C3, and C4, which represent the precedence constraints 1, 2, 3, and 4. The set of undirected arcs includes six arcs, U1, U2, U3, U4, U5, and U6.

Bottom Line: In this paper, process planning problem is described based on a weighted graph, and an ant colony optimization (ACO) approach is improved to deal with it effectively.A case has been carried out to study the influence of various parameters of ACO on the system performance.Extensive comparative experiments have been carried out to validate the feasibility and efficiency of the proposed approach.

View Article: PubMed Central - PubMed

Affiliation: School of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China.

ABSTRACT
Computer-aided process planning (CAPP) is an important interface between computer-aided design (CAD) and computer-aided manufacturing (CAM) in computer-integrated manufacturing environments (CIMs). In this paper, process planning problem is described based on a weighted graph, and an ant colony optimization (ACO) approach is improved to deal with it effectively. The weighted graph consists of nodes, directed arcs, and undirected arcs, which denote operations, precedence constraints among operation, and the possible visited path among operations, respectively. Ant colony goes through the necessary nodes on the graph to achieve the optimal solution with the objective of minimizing total production costs (TPCs). A pheromone updating strategy proposed in this paper is incorporated in the standard ACO, which includes Global Update Rule and Local Update Rule. A simple method by controlling the repeated number of the same process plans is designed to avoid the local convergence. A case has been carried out to study the influence of various parameters of ACO on the system performance. Extensive comparative experiments have been carried out to validate the feasibility and efficiency of the proposed approach.

Show MeSH
Related in: MedlinePlus