论文信息 - Towards Memetic Algorithms in GIScience : An Adaptive Multi-Objective Algorithm for Optimized Delineation of Neighborhood Boundaries - 字舞流文

Towards Memetic Algorithms in GIScience : An Adaptive Multi-Objective Algorithm for Optimized Delineation of Neighborhood Boundaries

P. Jankowski | P. Jankowski | G. Fraley | M. Jankowska | M. Jankowska | G. Fraley

[1] Mahmoud Tarokh,et al. Hybrid intelligent path planning for articulated rovers in rough terrain , 2008, Fuzzy Sets Syst..

[2] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[3] N. Xiao. A Unified Conceptual Framework for Geographical Optimization Using Evolutionary Algorithms , 2008 .

[4] J. Ord,et al. Local Spatial Autocorrelation Statistics: Distributional Issues and an Application , 2010 .

[5] David W. Corne,et al. No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems , 2003, EMO.

[6] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[7] Alan T. Murray,et al. Heuristics in Spatial Analysis: A Genetic Algorithm for Coverage Maximization , 2009 .

[8] David H. Wolpert,et al. Coevolutionary free lunches , 2005, IEEE Transactions on Evolutionary Computation.

[9] A. Getis,et al. Using AMOEBA to Create a Spatial Weights Matrix and Identify Spatial Clusters , 2006 .