Efficiently Solving the Redundancy Allocation Problem Using Tabu Search

By Sadan Kulturel-Konak, Alice E. Smith, David W. Coit. 2003

294 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality, Software

View Paper: https://www.semanticscholar.org/paper/6bc9468a482781da694c0f56851c0e694d074b8b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Way Kuo
2. Rui Wan
3. Laith Mohammad Abualigah

In Safety, Risk, Reliability and Quality

1. Rui Wan
2. Way Kuo

In Software

1. Rui Wan
2. Way Kuo

Citations in the corpus

• Recent Advances in Optimal Reliability Allocation (2007, methodology): “2) TS [41] results in a superior performance in terms of best solutions found and reduced variability and greater TABLE IV COMPARISON OF SEVERAL ALGORITHMS IN THIS PAPER, EACH FOR THE TEST PROBLEM FROM [96]”
• Moth–flame optimization algorithm: variants and applications (2019, background): “Strength Balance between exploration and exploitation [37] Balance between intensification and diversification [87] Deal with the complex fitness landscape [16] Don’t have overlapping and mutation calculation [15] Increases the diversity of the new solutions [77] Avoid trapped at local optimum [66]”
• Software Architecture Optimization Methods: A Systematic Literature Review (2013, methodology): “As an example, reliability block diagrams [57], [58], [63], [121], [136], [137], [149], [208], [217], discrete-time Markov chains [61], [96], [97], [165], [232], and fault trees [67], [184], [199] are used for reliability; queuing networks [35], [80], [143], [144], [168], [169], [171], [245], execut”