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Title:
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IMPROVING ALGEBRAIC EXPRESSION GENERATION USING CROW SEARCH BASED GENETIC ALGORITHM |
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Author(s):
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Praful Kumar Prajapati, Alisha Raj and Jitendra Pradhan |
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ISBN:
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978-989-8704-53-5 |
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Editors:
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Paula Miranda and Pedro Isaías |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Genetic Algorithm, Crow Search Algorithm, Awareness Probability, Optimization, Adaptive Mechanisms, Mutation, Cross Over, Expression Generation, Evolutiona |
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Type:
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Short |
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First Page:
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233 |
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Last Page:
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238 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This research paper proposes the integration of the Crow Search Algorithm (CSA) which is a metaheuristic optimization algorithm into GP to enhance its effectiveness in generating high-quality functions. The results obtained from the experiments demonstrate the effectiveness of CSA-GP in improving the function generation process, particularly focusing on algebraic expressions investigating the potential benefits in terms of performance time and accuracy. |
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