scholarly journals Recent research in finding the optimal path by ant colony optimization

2021 ◽  
Vol 10 (2) ◽  
pp. 1015-1023
Author(s):  
Sari Ali Sari ◽  
Kamaruddin Malik Mohamad

The computation of the optimal path is one of the critical problems in graph theory. It has been utilized in various practical ranges of real world applications including image processing, file carving and classification problem. Numerous techniques have been proposed in finding optimal path solutions including using ant colony optimization (ACO). This is a nature-inspired metaheuristic algorithm, which is inspired by the foraging behavior of ants in nature. Thus, this paper study the improvement made by many researchers on ACO in finding optimal path solution. Finally, this paper also identifies the recent trends and explores potential future research directions in file carving.

2015 ◽  
Vol 11 (3) ◽  
pp. 427-440 ◽  
Author(s):  
Chris Marquis ◽  
Susan E. Jackson ◽  
Yuan Li

ABSTRACTAs China shifts its development model from focusing on economic growth at all costs to a model in which economic growth is balanced with solving pressing societal and environmental problems, there is an increasing need for management research on building sustainable organizations in China. This collection of papers focuses attention on the role of business in promoting sustainable economic development, highlighting a number of key processes including: the factors that foster transparency and CSR reporting, how stakeholders can influence corporations to abandon their CSR commitments, the benefits of environmental branding and labeling, and the antecedents and performance consequences of proactive environmental strategies. In this introductory essay we reflect on recent trends in sustainability research in China, and to encourage this important movement, provide recommendations for future research directions.


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