Titlebook: Engineering and Applied Sciences Optimization; Dedicated to the Mem Nikos D. Lagaros,Manolis Papadrakakis Book 2015 The Editor(s) (if appli

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Air Traffic Flow Management Data Mining and Analysis for In-flight Cost Optimization,ted day by day. This factor presents more opportunities and also challenges as well in the study and development of Air Traffic Management (ATM). Usually, Decision Support Systems (DSS) are developed to improve the efficiency of ATM. The main problem for these systems is the data analysis to acquisi

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Morose

Computational Intelligence and Optimization for Transportation Big Data: Challenges and Opportuniti challenges. New modeling paradigms based on Computational Intelligence (CI) that take advantage of the advent of big datasets have been systematically proposed in literature. Transportation optimization problems form a research field that has systematically benefited from CI. Nevertheless, when it

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Comparative Study on Recent Metaheuristic Algorithms in Design Optimization of Cold-Formed Steel Stesources and reducing waste and pollution. Building construction has the capacity to make a major contribution to a more sustainable future of our World because this industry is one of the largest contributors to global warming. The use of cold-formed steel framing in construction industry provides

META

Adaptive Switching of Variable-Fidelity Models in Population-Based Optimization,ts different computational models (both physics-based models and surrogate models) to be used during optimization, with the overall objective to result in optimal designs with high fidelity function estimates at a reasonable computational expense. For example, in optimizing an aircraft wing to obtai

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Genetic Algorithms for the Construction of , and ,-Level Response Surface Designs,algorithmic method for constructing .-level design matrices in order to explore and optimize response surfaces where the predictor variables are each at . equally spaced levels, by utilizing a genetic algorithm. We emphasize on various properties that arise from the implementation of the genetic alg

FIN

Reactive Power and Voltage Control Based on Mesh Adaptive Direct Search Algorithm, of power systems. MADS is utilized to specify the optimal settings of control variables, i.e. transformer taps and generator voltages for optimal reactive power and voltage control of IEEE 30-bus system. Covariance matrix adaptation evolution strategy (CMAES) algorithm is utilized as a strong searc

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Optimal Placement of Hysteretic Dampers via Adaptive Sensitivity-Smoothing Algorithm,ndom media are extremely random in time and frequency domains, the seismic response of a building structure with hysteretic dampers deviates greatly depending on the installed quantity and location of dampers. This characteristic could become a barrier and difficulty to the reliable formulation of o