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نمایش مقالات انگلیسی با موضوع: تصمیم گیری تعداد : 114
41. Multi-objective optimization using teaching-learning-based optimization algorithm
Source: Engineering Applications of Artificial Intelligence 26 (2013) 1291–1300
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No of Pages: 10
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42. Semantic-based approach for route determination and ontology updating
Source: Engineering Applications of Artificial Intelligence 26 (2013) 1174–1184
Authors: .
No of Pages: 11
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43. Efficient citywide planning of open WiFi access networks using novel grouping harmony search heuristics
Source: Engineering Applications of Artificial Intelligence 26 (2013) 1124–1130
Authors: .
No of Pages: 7
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44. A genetic algorithm model based on artificial neural network for prediction of the axillary lymph node status in breast cancer
Source: Engineering Applications of Artificial Intelligence 26 (2013) 945–950
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No of Pages: 6
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45. Multi-objective optimization of two stage thermoelectric cooler using a modified teaching–learning-based optimization algorithm
Source: Engineering Applications of Artificial Intelligence 26 (2013) 430–445
Authors: .
No of Pages: 16
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46. Hierarchical congregated ant system for bottom-up VLSI placements
Source: Engineering Applications of Artificial Intelligence 26 (2013) 584–602
Authors: .
No of Pages: 19
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47. Design of frequency response masking FIR filter in the Canonic Signed Digit space using modified Artificial Bee Colony algorithm
Source: Engineering Applications of Artificial Intelligence 26 (2013) 660–668
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No of Pages: 9
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48. Comparison of evolutionary-based optimization algorithms for structural design optimization
Source: Engineering ApplicationsofArtificialIntelligence26(2013)327–333
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No of Pages: 7
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49. Comparing multi objective swarm intelligence meta heuristics for DNA motif discovery
Source: Engineering Applications of Artificial Intelligence 26 (2013) 314–326
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No of Pages: 13
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50. A multi-objective optimization based solution for the combined economic-environmental power dispatch problem
Source: Engineering Applications of Artificial Intelligence 26 (2013) 417–429
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No of Pages: 13
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