Simulated Manufacturing Condition Improvement by Particle Swarm Optimisation, Firefly and Hunting Search Algorithms

A Systematic Review on Firefly Algorithm: Past, Present, and Future

“…he used FA to do this optimization based on local search and find it efficient. The list of various engineering application shown in table4 [83] Rigid image registration Image Processing [84] Image vector quantization Image Processing [85] Vector quantization for image compression Image Processing [86] Non-linear grayscale image enhancement Image Processing [87] Image segmentation Image Processing [88] Multilevel thresholding Image Processing [89] Multilevel image thresholding selection Image Processing [90] Cross entropy threshold Image Processing [91] Linear array antenna Antenna Designing [92] 2 ring circular array antenna Antenna Designing [93] Linear antenna designing Antenna Designing [94] Concentric ring array antenna Antenna Designing [95] Self-synchronization of robot Robotics [96] Industrial robots Robotics [97] Optimal semantic web service composition Semantic Web [98] Wireless sensor networks Wireless Network [99] Support vector machine Business Optimization [100] Financial portfolio optimization Business Optimization [101] Co-variance matrix adaptation Chemical Engineering [102] Tower structures Civil Engineering [103] Optimum design of structures Civil Engineering [104] Optimum design of trusses Civil Engineering [105] Precipitation field Meteorology Optimization [106] Economic emissions load dispatch problem Industry Optimization [107] Non-convex economic dispatch problems Industry Optimization [108] Steel slabs Casting Industry Optimization [109] Ring array antenna Industry Optimization [110] Simulated manufacturing process Industry Optimization [111] Unit commitment Industry Optimization [112] Demand response scheduling Industry Optimization [113] Train's energy saving Industry Optimization…”

Challenges and Properties for Bio-inspiration in Manufacturing

“…In addition, bacterial foraging behavior provides adequate principles to tackle assembly line balancing [26]. The flashing lights of fireflies were also explored in the development of scheduling mechanisms [27], cell formation problems [28] and solving machining models [29]. Mechanisms based on the neural behavior have been widely applied in recognition problems [30,31] and fault detection [32], among others.…”

Design and Simulation of a Modified Firefly Algorithm

“…The bigger D is, with slower algorithm convergence the greater random motion range of fireflies is. In the practical optimization problems, generally, global search helps the algorithm converge to an area quickly, and then local search obtains the high precision solution [4][5][6][7][8].…”