2011
DOI: 10.1016/j.eswa.2010.08.084
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Simulated annealing with adaptive neighborhood: A case study in off-line robot path planning

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Cited by 65 publications
(29 citation statements)
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“…Selections for appropriate annealing parameters contribute to the best performance of SA algorithm (Tavares et al, 2011). Many applications of SA have been reported in the area of location analysis and also vehicle routing problem including Paik and Soni (2007), Antunes andPeeters (2001), Arostegui Jr. et al (2006), Taheri and Zomaya (2007), and Righini (1995).…”
Section: Simulated Annealingmentioning
confidence: 99%
“…Selections for appropriate annealing parameters contribute to the best performance of SA algorithm (Tavares et al, 2011). Many applications of SA have been reported in the area of location analysis and also vehicle routing problem including Paik and Soni (2007), Antunes andPeeters (2001), Arostegui Jr. et al (2006), Taheri and Zomaya (2007), and Righini (1995).…”
Section: Simulated Annealingmentioning
confidence: 99%
“…Janabi-Sharifi & Vinke [110] have addressed the local and global navigation problems in the real environment using Artificial Potential Field method and Simulated Annealing Algorithm. Tavares et al [111] have discussed the off-line path planning problem of a mobile robot using SAA. They have designed some adaptive tuning parameters to change the behavior of that algorithm.…”
Section: Simulated Annealing Algorithm For Mobile Robot Navigationmentioning
confidence: 99%
“…9 Using simulated annealing, Tavares et al reduced the number of configuration parameters and improved the efficiency of acquiring an ideal robot path. 10 In addition to path planning, kinematic simulation systems are crucial for optimizing path planning of multi-joint robots and to achieve accurate and smooth paths under various constraints, including displacement, velocity, and acceleration. Two common types of simulation system exist: dynamic simulation systems and kinematic simulation systems.…”
Section: Introductionmentioning
confidence: 99%