Learn More
SUMMARY: Construction projects involve a large number of both direct stakeholders (clients, professional teams, contractors, etc.) and indirect stakeholders (local authorities, residents, workers, etc.). Current methods of communicating building design information can lead to several types of difficulties (e.g. incomplete understanding of the planned(More)
In practice, cutting large number of pieces with different shapes often requires a well plan of assigning number of shapes on the cut template. The working arrangement of the cut-template is treated as Cut order plan (COP). The aim is to optimize cutting templates of fabric cutting function in apparel manufacturing firms when the cut order requirement is(More)
Ant colony system (ACS) is a promising approach which has been widely used in problems such as Travelling Salesman Problems (TSP), Job shop scheduling problems (JSP) and Quadratic Assignment problems (QAP). In its original implementation, parameters of the algorithm were selected by trial and error approach. Over the last few years, novel approaches have(More)
Nature inspired algorithms for their powerfulness, acquire a unique place among the algorithms for optimization. This paper intends to provide a comparison of firefly algorithm (FA) with 3 other nature inspired algorithms; genetic algorithms (GA), particle swarm optimization algorithm (PSO) and ant colony systems (ACS). Traveling salesman problem (TSP) has(More)
The paper examines the combination the conventional heuristic of COP generation and Genetic algorithm (GA) to optimize Cut order plan (COP) solutions in apparel industry. Cut planners in apparel organizations need to decide the cut templates of fabric cutting when the cut order requirement is known. As NP-hard problem with several constrains, COP requires a(More)
  • 1