This paper proposes a discrete cuckoo search algorithm, which is a meta-heuristic optimization algorithm used to solve real-world problems, and it is applied to the multiple-input and multiple-output symbol detection ...
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ISBN:
(纸本)9781728132716
This paper proposes a discrete cuckoo search algorithm, which is a meta-heuristic optimization algorithm used to solve real-world problems, and it is applied to the multiple-input and multiple-output symbol detection problem. However, simply applying the cuckoosearchalgorithm is problematic since it does not consider the convex and discrete nature of the symbol detection problem. Thus, a discrete cuckoo search algorithm is applied to the decoded process to enhance the error performance of symbol detection
Recently, order picking routing (OPR) for robots inside modern warehouses have become one of the most challenging problems. The process of OPR can be formulated as a Travelling Salesman Problem (TSP). Traditional tech...
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Recently, order picking routing (OPR) for robots inside modern warehouses have become one of the most challenging problems. The process of OPR can be formulated as a Travelling Salesman Problem (TSP). Traditional techniques used to solve this problem usually require a long execution time and are problem-specific. Meta-heuristic optimisation techniques have been applied to solve this problem and have shown outstanding results. In this study, we solve the OPR problem using a newly proposed discrete variant of the cuckoosearchalgorithm. Five modifications were made to the current discrete cuckoo search algorithm. The proposed variant was applied to a traditional TSP problem. Then, the proposed algorithm was customised to solve the OPR problem in a warehouse environment. Finally, the proposed algorithm was applied to a physical prototype. It was then compared with genetic, particle swarm optimisation, and ant colony optimisation algorithms. Simulation and practical results proved the significant performance of the proposed algorithm over all other algorithms, especially in solving complex problems.
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