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Optimizing Hydropower Reservoir Operation Using Hybrid Genetic Algorithm and Chaos

Cheng, Chun-Tian; Wang, Wen-Chuan; Xu, Dong-Mei; Chau, K. - In: Water Resources Management 22 (2008) 7, pp. 895-909

convergence, slow iterations to reach the global optimal solution and getting stuck at a local optimum. A novel chaos genetic … algorithm (CGA) based on the chaos optimization algorithm (COA) and genetic algorithm (GA), which makes use of the ergodicity … and internal randomness of chaos iterations, is presented to overcome premature local optimum and increase the convergence …

Persistent link: https://www.econbiz.de/10010794658

Optimality-based bound contraction with multiparametric disaggregation for the global optimization of mixed-integer bilinear problems

Castro, Pedro; Grossmann, Ignacio - In: Journal of Global Optimization 59 (2014) 2, pp. 277-306

We address nonconvex mixed-integer bilinear problems where the main challenge is the computation of a tight upper bound for the objective function to be maximized. This can be obtained by using the recently developed concept of multiparametric disaggregation following the solution of a...

Persistent link: https://www.econbiz.de/10010793966

Polynomial chaos-based parameter estimation methods applied to a vehicle system

Blanchard, Emmanuel D; Sandu, Adrian; Sandu, Corina - 2010

expensive. The polynomial chaos approach has been shown to be more efficient than Monte Carlo for quantifying the effects of … polynomial chaos theory for parameter estimation: a Bayesian approach, and an approach using an extended Kalman filter (EKF) to … obtain the polynomial chaos representation of the uncertain states and the uncertain parameters. The two methods are applied …

Persistent link: https://www.econbiz.de/10009457571

Organizations and chaos : defining the methods of nonlinear management

Priesmeyer, Henry Richard - 1992

Persistent link: https://www.econbiz.de/10004145383

Chaos theory and spatial dynamics

Nijkamp, P.; Reggiani, A. - VU University Amsterdam, Faculty of Economics, Business … - 1989

Persistent link: https://www.econbiz.de/10005510202

Simulation Tools for Social Scientists: Building Agent Based Models with SWARM

Terna, Pietro - In: Journal of Artificial Societies and Social Simulation 1 (1998) 2, pp. 4-4

Social scientists are not computer scientists, but their skills in the field have to become better and better to cope with the growing field of social simulation and agent based modelling techniques. A way to reduce the weight of software development is to employ generalised agent development...

Persistent link: https://www.econbiz.de/10005518520

Testing for Nonlinearity and Deterministic Chaos in Monthly Japanese Stock Market Data

Jasic, Teo - In: Zagreb International Review of Economics and Business 1 (1998) 1, pp. 61-81

financial data may indicate the presence of nonlinearities and low-dimensional chaos. These methods include rescaled range (R …

Persistent link: https://www.econbiz.de/10005536925

Controlling noisy, stable and chaotic, economics

Stoop, Ruedi; Kern, Albert; Wagner, Clemens - Society for Computational Economics - SCE

We investigate a simple nonlinear model of economics to which strong multiplicative noise is added, and find two distinct generic control regimes. In the regime of noisy behavior, the application of the control is able to reduce noise only if the underlying periodicity is correctly taken into...

Persistent link: https://www.econbiz.de/10005537829

The evidence of complex variability in construction labour productivity

Radosavljevic, Milan; Malcolm, R.; Horner, W. - In: Construction Management and Economics 20 (2002) 1, pp. 3-12

that future research should be focused on studying the applicability of chaos theory to construction labour. …

Persistent link: https://www.econbiz.de/10005482681

"Chaotic Equilibria in Models with Ill-Defined Forward Dynamics"

Stockman, David; Kennedy, Judy - Department of Economics, Lerner College of Business and … - 2006

Some economic models like the cash-in-advance model of money or overlapping generations model have the property that the dynamics are ill-defined going forward in time, but well-defined going backward in time. In such instances, what does it mean for an ill-defined dynamical system to be...

Persistent link: https://www.econbiz.de/10005487459