Trends in Artificial Intelligence

 ISSN: 2643-6000

Trends in Artificial Intelligence

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Table of Content: Volume 2, Issue 1

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Original Article Pages 46-59

Solving Integer Programming Problems by Hybrid Bat Algorithm and Direct Search Method

Authors: Ahmed F Ali and Mohamed A Tawhid

Abstract: The goal of this work is to suggest a new hybrid algorithm to solve integer programming by incorporating the bat algorithm with direct search methods. The suggested algorithm is named hybrid bat direct search algorithm (HBDS). In HBDS, the global diversification and the local intensification process are balanced. The bat algorithm has a good capability to make intensification and diversification search. The intensification ability of the suggested algorithm is increased by employing the pattern search method as a local search method instead of the random walk method in the classic bat algorithm. In the final stage of the algorithm, the Nelder-Mead method is used to improve the best found solution from the bat and pattern search method instead of running the algorithm more iterations without any enhancements in the fitness function value. The performance of the HBDS algorithm is examined on 7 integer programming problems and compared to 10 benchmark algorithms for solving integer programming problems. The computational results show that HBDS is a promising algorithm and outperforms the other algorithms in most cases.

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Research Article Pages 27-33

Scan Transcription of Two-Dimensional Shapes as an Alternative Neuromorphic Concept

Authors: Ernest Greene and Yash Patel

Abstract: A similarity response is only one of many kinds of response we can elicit from a subject, by suitable manipulation of the number and variety of the stimuli presented, and by instructions to make one sort of decision or choice rather than another. Robert A Gregson.

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