%0 Journal Article %1 Zitzler1999 %A Zitzler, E. %A Thiele, L. %D 1999 %J IEEE Transactions on Evolutionary Computation %K 0/1 Pareto algorithms, approach clustering computation, conflicting continuously digital diversity, dominance evolutionary extended hardware-software knapsack multiobjective multiprocessor nondominated objectives, optimisationPareto optimization, population population, problem, problems, procedure, relationship, solutions, strength system, updated %N 4 %P 257-271 %R 10.1109/4235.797969 %T Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach %V 3

@article{Zitzler1999, added-at = {2009-12-14T10:56:13.000+0100}, author = {Zitzler, E. and Thiele, L.}, biburl = {https://www.bibsonomy.org/bibtex/2d50075cffe48594bae066a1ac727a466/danfunky}, doi = {10.1109/4235.797969}, file = {Paper:articles\\zitzler1999.pdf:PDF}, interhash = {7a9d8363ab3b00b56b2ca4717a00286f}, intrahash = {d50075cffe48594bae066a1ac727a466}, journal = {IEEE Transactions on Evolutionary Computation}, keywords = {0/1 Pareto algorithms, approach clustering computation, conflicting continuously digital diversity, dominance evolutionary extended hardware-software knapsack multiobjective multiprocessor nondominated objectives, optimisationPareto optimization, population population, problem, problems, procedure, relationship, solutions, strength system, updated}, month = {November}, number = 4, owner = {D047718}, pages = {257-271}, review = {The paper describes an algorithm for multi-objektive EA called SPEA: all non-dominated solutions are stored externally. the fitness assignment is solely based upon the external solution store. the algorithm is shown to perform exceptionally well. zitzler et al. (2000) confim this strongly. Tan et al. (2001) come to the same conclusion, but less strongly}, timestamp = {2009-12-14T10:56:19.000+0100}, title = {Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach}, volume = 3, year = 1999 }