Evolutionary Complex Engineering Optimization: Opportunities and Challenges [Guest Editorial]

The papers in this special section focus on the challenges and future direction of evolutionary complex engineering.

[1]  Sebastian Engell,et al.  Optimal operation: Scheduling, advanced control and their integration , 2012, Comput. Chem. Eng..

[2]  Jürgen Branke,et al.  Evolutionary optimization in uncertain environments-a survey , 2005, IEEE Transactions on Evolutionary Computation.

[3]  Xin Yao,et al.  A framework for finding robust optimal solutions over time , 2013, Memetic Comput..

[4]  Graham Kendall,et al.  Hyper-Heuristics: An Emerging Direction in Modern Search Technology , 2003, Handbook of Metaheuristics.

[5]  Bernhard Sendhoff,et al.  A systems approach to evolutionary multiobjective structural optimization and beyond , 2009, IEEE Computational Intelligence Magazine.

[6]  T. Chai.  Challenges of Optimal Control for Plant-wide Production Processes in Terms Control and Optimization Theories: Challenges of Optimal Control for Plant-wide Production Processes in Terms Control and Optimization Theories , 2009 .

[7]  Yaochu Jin,et al.  Surrogate-assisted evolutionary computation: Recent advances and future challenges , 2011, Swarm Evol. Comput..

[8]  Xin Yao,et al.  Large scale evolutionary optimization using cooperative coevolution , 2008, Inf. Sci..

[9]  Bernhard Sendhoff,et al.  Robust Optimization - A Comprehensive Survey , 2007 .

[10]  Tianyou Chai,et al.  Knowledge-Based Global Operation of Mineral Processing Under Uncertainty , 2012, IEEE Transactions on Industrial Informatics.

[11]  Bernhard Sendhoff,et al.  Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries , 2008, J. Math. Model. Algorithms.