An immune co‐evolutionary algorithm based approach for problems related to clothing uniform assignment
Source abstract
Abstract
Purpose The purpose of this paper is to study the problem of clothing uniform assignment (CUA) and propose an immune co‐evolutionary algorithm to search optimal assignments of uniform garments to employees. Design/methodology/approach Multi‐size fitting measures are proposed based on multi‐attribute decision making. An immune co‐evolutionary algorithm incorporating immune inspired mechanisms is proposed to search optimal assignments. Findings The experimental results show promising performance. The model and the algorithm are aiming at a valuable problem and can be incorporated into the information systems for large‐scale industrial companies. Originality/value Uniform assignment problem is modeled with garment size fitting constraints. Multi‐size fitting measures are proposed based on multi‐attribute decision making and an immune co‐evolutionary algorithm is proposed to search optimal assignments.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Assembly Line Balancing Optimization · Vehicle Routing Optimization Methods · Advanced Manufacturing and Logistics Optimization
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