Optimal path for automated drilling operations by a new heuristic approach using particle swarm optimization

DOI10.1080/00207540310001614150zbMath1176.90178OpenAlexW2128337573MaRDI QIDQ4826246

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Publication date: 11 November 2004

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540310001614150

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)

Related Items (8)

Synchronous parallelization of particle swarm optimization with digital pheromones ⋮ A particle swarm optimization algorithm for makespan and total flowtime minimization in the permutation flowshop sequencing problem ⋮ Optimization of the multi-hole drilling path sequence for concentric circular patterns ⋮ Drilling path optimization by the particle swarm optimization algorithm with global convergence characteristics ⋮ A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem ⋮ Optimisation of integrated process planning and scheduling using a particle swarm optimisation approach ⋮ Differential Evolution for Permutation—Based Combinatorial Problems ⋮ Forward Backward Transformation

Cites Work

• Optimization by Simulated Annealing
• The traveling salesman. Computational solutions for RSP applications
• The traveling salesman problem and its variations
• Emerging Optimization Techniques in Production Planning and Control
• A shortest path algorithm for a nonrotating object among obstacles of arbitrary shapes

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