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1. An effective hybrid evolutionary algorithm for stochastic multiobjective assembly line balancing problem

作者： Wenqiang Zhang ; Weitao Xu ; Gang Liu ; Mitsuo Gen

关键词：Stochastic assembly line balancing ; Multiobjective optimization ; Uncertainty model ; Hybrid evolutionary algorithm

刊名：Journal of Intelligent Manufacturing

出版年：2017

2. Simultaneous order scheduling and mixed-model sequencing in assemble-to-order production environment: a multi-objective hybrid artificial bee colony algorithm

作者： Baoxi Wang ; Zailin Guan ; Saif Ullah ; Xianhao Xu…

关键词：Order scheduling ; Mixed ; model sequencing ; Final assembly schedule ; Multi ; objective hybrid artificial bee colony algorithm

刊名：Journal of Intelligent Manufacturing

出版年：2017

3. A hybrid elitist pareto-based coordinate exchange algorithm for constructing multi-criteria optimal experimental designs

作者： Yongtao Cao ; Byran J. Smucker ; Timothy J. Robinson

关键词：Multi ; criteria optimal experimental design ; Pareto front ; Hybrid algorithm

刊名：Statistics and Computing

出版年：2017

4. A Novel Model Order Reduction Technique for Linear Continuous-Time Systems Using PSO-DV Algorithm

作者： Vasu Ganji ; Sivakumar Mangipudi…

关键词：Model order reduction ; PSO ; DV algorithm ; Error minimization ; Linear ; time invariant systems ; Step integral square error

刊名：Journal of Control, Automation and Electrical Systems

出版年：2017

5. Low-Power FIR Filter Design Using Hybrid Artificial Bee Colony Algorithm with Experimental Validation Over FPGA

作者： Atul Kumar Dwivedi ; Subhojit Ghosh…

关键词：FIR filters ; Evolutionary optimization ; Artificial bee colony ; Power minimization ; FPGA

刊名：Circuits, Systems, and Signal Processing

出版年：2017

6. An Efficient Method for Designing Multiplier-Less Non-uniform Filter Bank Based on Hybrid Method Using CSE Technique

作者： I. Sharma ; A. Kumar ; G. K. Singh

关键词：Non ; uniform filter banks ; Common sub ; expression elimination algorithms ; Artificial bee colony (ABC) ; Particle swarm optimization (PSO) ; Hybrid method algorithm

刊名：Circuits, Systems, and Signal Processing

出版年：2017

7. Optimal sizing of CMOS analog circuits using gravitational search algorithm with particle swarm optimization

作者： S. Mallick ; R. Kar ; D. Mandal ; S. P. Ghoshal

关键词：CMOS ; Circuit sizing ; Two ; stage op ; amp ; Differential amplifier ; GSA–PSO ; Evolutionary optimization techniques ; Low power design

刊名：International Journal of Machine Learning and Cybernetics

出版年：2017

8. Nested hybrid evolutionary model for traffic signal optimization

作者： Sweta Srivastava ; Sudip Kumar Sahana

关键词：Computational techniques ; Problem solving ; GA ; Ant Colony ; Genetic Algorithm ; Petri Net ; Game playing ; Traffic signal ; Optimization techniques

刊名：Applied Intelligence

出版年：2017

9. A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy

作者： Radhia Azzouz ; Slim Bechikh ; Lamjed Ben Said

关键词：Change severity sensing ; Dynamic multi ; objective optimization ; Time ; changing objective functions ; Adaptive population management ; Memory ; based strategy ; Local search ; based strategy ; Change severity ; based strategy

刊名：Soft Computing

出版年：2017

10. Particle swarm optimization algorithm with environmental factors for clustering analysis

作者： Wei Song ; Wei Ma ; Yingying Qiao

关键词：Clustering ; Environmental factors ; PSO ; Evolutionary computing ; Multi ; local search technology

刊名：Soft Computing

出版年：2017

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