-
Avigad G., Eisenstadt E., & Schuetze, O., (2012). Handling Changes of Performance-Requirements in Multi Objective Problems. Journal of Engineering Design, 23(8):597-617.
-
Avigad G., Eisenstadt E., Goldvard, A., and Salomon, S., (2012). Transient Responses' Optimization by Means of Set-based Multi-Objective Evolution. Engineering Optimization, 44(4):407-426.
-
Avigad G., Eisenstadt E., & Weiss M., (2011). Trajectory' Planning for Multi UMVs under Reciprocal Constraints. Engineering Optimization, 43(12):1331-1350.
-
Avigad G. & Eisenstadt E. ,(2011). The Multi-Single Objective Problem and its Solution by way of Evolutionary Algorithms. Research in Engineering Design 22(2):87–102.
-
Avigad, G., Eisenstadt E., & Shnits B., (2011). Supporting the selection of robust engineering concepts under suppliers related uncertainties. Journal of Engineering Design, 22(8): 543-563.
-
Avigad, G., Eisenstadt E., & Goldvard, A., (2010). Pareto Layer: Its Formulation and its Search by way of Evolutionary Multi-Objective Optimization. Engineering Optimization, 42(5): 453-470.
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Avigad G., Eisenstadt E., Valery Y. Glizer, (2012). Evolving a Pareto Front for an Optimal Bi-Objective Robust Interception Problem with Imperfect Information. A Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation II in Advances in Intelligent Systems and Computing 175, pp: 121-135. Springer, 2012.
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Avigad G., Eisenstadt E., Shaul Salomon, and Frederico Gadelha Guimares, (2012). Evolution of Contours for Topology Optimization. A Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation II in Advances in Intelligent Systems and Computing 175, pp: 397-412. Springer, 2012.
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Avigad G., Eisenstadt E., & Weiss M. (2010). The Optimization versus Survival Problem and its solution by an Evolutionary Multi Objective Algorithm. Lecture Notes In Computer Science LNCS 6457, pp: 494-503. Springer, 2010.
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Avigad G., Eisenstadt, E., & Schuetze, O., (2011). Design and Evolution of Robust-to-Market-Changes Sets of Solutions to Multi Objective Problems. Journal of Engineering Design, DOI: 10.1080/09544828.2011.630656, November 2011.