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MicroAlgo Inc. Announced Knowledge-enhanced Backtracking Search Algorithm
BEIJING, Sept. 22, 2023 /PRNewswire/ -- MicroAlgo Inc. (NASDAQ: MLGO) (the "Company" or "MicroAlgo"), today announced that a knowledge-enhanced backtracking
About this update from Microalgo, Inc.
[{"type":"text","content":"BEIJING, Sept. 22, 2023 /PRNewswire/ -- MicroAlgo Inc. (NASDAQ: MLGO) (the \"Company\" or \"MicroAlgo\"), today announced that a knowledge-enhanced backtracking search algorithm was developed, while the research and development of evolutionary computational methods provided the technical basis for the emergence of the MicroAlgo's knowledge-enhanced backtracking search algorithm. The algorithm aims to improve the efficiency, accuracy and adaptability of problem-solving and provide more possibilities for optimization and decision support for enterprises and research institutions. The development and application of the algorithm is expected to have a significant impact in various fields.\n\nKnowledge-enhanced backtracking search algorithm combines backtracking search strategy and knowledge learning to improve the performance and efficiency of the algorithm. The basis of the Knowledge-enhanced backtracking search algorithm is backtracking search. Backtracking search is an iterative optimization method that starts with one possible solution and then searches for an optimal or near-optimal solution to the problem by progressively adjusting and improving the current solution. At each step, the algorithm tries different alternatives and then evaluates the quality of those alternatives and decides on the next move.\nMicroAlgo Inc.'s knowledge-enhanced backtracking search algorithm introduces adaptive control parameters to enable dynamic adjustment of the search step size. The values of these parameters are automatically adjusted based on global and local information about the population in the current iteration. This means that the algorithm is able to flexibly adjust the depth and breadth of the search according to the characteristics of the problem and the progress of the search. This helps to balance the exploration and exploitation capabilities of the algorithm, thus improving search efficiency.\nKnowledge-enhanced backtracking search algorithm uses different mutation strategies which are guided by various information. These strategies guide the algorithm to generate new solutions based on prior search experience and domain knowledge. The goal of these strategies is to increase the diversity of the search, help the algorithm to jump out of the local optimal solution and improve the efficiency of the global search. The selection and a...