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Abstract: Goal programming is a technique often used in engineering design activities primarily to find a compromised solution which will simultaneously satisfy a number of design goals. In solving goal programming problems, classical methods reduce the multiple goal-attainment problem into a single objective of minimizing a weighted sum of deviations from goals. Moreover, in tackling non-linear goal programming problems, classical methods use successive linearization techniques, which are sensitive... (Update)
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...performance of the genetic algorithms in the late stage of the optimization process. For NPGA we use a sharing mechanism described by S. Deb [14]. The sharing parameter s share is given by: P share q s (7) where q is the desired number of distinct Pareto optimal solutions and...
...normalized average distances d i,j among elements, in both design and objectives domain. Afterwards we implement the standard sharing formulas [3] [4] for the calculation of the sharing parameter sh i,j and the penalty coefficient m i, we evaluate the niche radius s in the...
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BibTeX entry: (Update)
Deb, K.: Non-linear Goal Programming Using Multi-Objective Genetic Algorithm. Technical Report no. CI-60/98, Department of Computer Science, XI University of Dortmund GE, 1998 http://citeseer.ist.psu.edu/deb98nonlinear.html More
@techreport{ deb99nonlinear,
author = "Kalyanmoy Deb",
title = "Non-{L}inear {G}oal {P}rogramming using {M}ulti-{O}bjective {G}enetic {A}lgorithms",
number = "CI-60/98",
address = "University of Dortmund, Germany",
year = "1999",
url = "citeseer.ist.psu.edu/deb98nonlinear.html" }
Citations (may not include all citations):2138 Genetic algorithms for search (context) - Goldberg - 1989
162 Genetic algorithms for multi-objective optimization: Formula.. - Fonseca, Fleming - 1993
148 An investigation of niche and species formation in genetic f.. (context) - Deb, Goldberg - 1989
127 A niched Pareto genetic algorithm for multiobjective optimiz.. - Horn, Nafploitis et al. - 1994
107 Multiple criteria optimization: Theory (context) - Steuer - 1986
39 Simulated binary crossover for continuous search space - Deb, Agrawal - 1995
38 Engineering optimization methods and applications (context) - Reklaitis, Ravindran et al. - 1983
36 Multiobjective optimization using evolutionary algorithms---.. - Zitzler, Thiele - 1998
33 Selective breeding in a multi-objective genetic algorithm (context) - Parks, Miller - 1998
33 Multi-Objective function optimization using non-dominated so.. (context) - Srinivas, Deb - 1994
21 Optimization for engineering design: Algorithms and examples (context) - Deb - 1995
18 An efficient constraint handling method for genetic algorith.. - Deb
17 A spatial predator-prey approach to multiobjective optimizat.. - Laumanns, Rudolph et al. - 1998
17 Genetic algorithm design of Pareto-optimal broad band microw.. (context) - Weile, Michielssen et al. - 1996
16 Goal programming and extensions (context) - Ignizio - 1976
11 Optimal estimation of executive compensation by linear progr.. (context) - Charnes, Cooper et al. - 1955
11 Use of genetic algorithms in multicriteria optimization to s.. (context) - Cunha, Oliveira et al. - 1997
10 A robust optimization procedure for mechanical component des.. (context) - Deb, Goyal - 1997
7 Handbook of critical issues in goal programming (context) - Romero - 1991
6 Genetic-algorithm-based design of groundwater quality monito.. (context) - Eheart, Cieniawski et al. - 1993
4 Goal programming for decision analysis (context) - Lee - 1972
3 A goal programming approach to the optimization of multiresp.. (context) - Clayton, Weber et al. - 1982
3 A review of goal programming: A tool for multiobjective anal.. (context) - Ignizio - 1978
2 Compromise programming (context) - Zeleney - 1973
2 Goal programming: A new tool for optimization in petroleum r.. (context) - Sayyouth - 1981
2 Multiple criteria decision making (context) - Zeleney - 1982
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