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Non-linear Goal Programming Using Multi-Objective Genetic Algorithms
Kalyanmoy Deb ; The Pennsylvania State University CiteSeerX Archives
http://www.jeo.org/emo/deb01d.ps.gz.

Goal programming Genetic algorithms Engineering design
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3

Nonlinear goal programming using multi-objective genetic algorithms
Kalyanmoy Deb ; The Pennsylvania State University CiteSeerX Archives
http://sfbci.uni-dortmund.de/Publications/Reference/Downloads/_D020300B.pdf.

Goal programming Genetic algorithms Engineering design
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4

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5

An investigation of genetic algorithms for the optimization of multi-objective fisheries bioeconomic models
Mardle, S.J. ; Pascoe, S. ; Tamiz, M.
In International Transactions in Operational Research 2000 7(1):33-49

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6

Simulation-based model for the optimization of machining parameters in a metal-cutting operation
Chávez-García, Hernán ; Castillo-Villar, Krystel K.
In Simulation Modelling Practice and Theory May 2018 84:204-221

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7

Sustainable operations-oriented painting process optimisation in automobile maintenance service
Yang, Qin ; Meng, Xin ; Zhao, Huan ; et al.
In Journal of Cleaner Production 15 November 2021 324

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8

Multi-objective multi-layer congested facility location-allocation problem optimization with Pareto-based meta-heuristics
Hajipour, Vahid ; Fattahi, Parviz ; Tavana, Madjid ; et al.
In Applied Mathematical Modelling April 2016 40(7-8):4948-4969

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9

A multi-objective model for multi-project scheduling and multi-skilled staff assignment for IT product development considering competency evolution.
Chen, Rong ; Liang, Changyong ; Gu, Dongxiao ; et al.
International Journal of Production Research. 11/1/2017, Vol. 55 Issue 21, p6207-6234. 28p.

PRODUCTION scheduling NEW product development INFORMATION technology PRODUCTION control PROJECT management SCHEDULING
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10

Multi-objective modeling for Member Selection of Cross-functional Teams
Elham Mahmudinejad ; Adel Azar ; Ali Rajabzadeh ; et al.
مدیریت تولید و عملیات, Vol 9, Iss 2, Pp 99-113 (2018)

Binary programming Cross functional teams member selection multi objective modeling working teams Management. Industrial m... …
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11

Swarm Intelligence And Evolutionary Computation For Single And Multiobjective Optimization In Water Resource Systems
Reddy, Manne Janga

Swarm Intelligence Genetic Algorithms Water Resources - Geneti... Water Resources Systems... Water Resource Managemen... Elitist-Mutated Multi-Ob... …
Dissertation
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12

Modularity-based quality assessment of a disruptive reconfigurable manufacturing system-A hybrid meta-heuristic approach.
Khan, Abdul Salam ; Homri, Lazhar ; Dantan, Jean Yves ; et al.
International Journal of Advanced Manufacturing Technology; Jul2021, Vol. 115 Issue 5/6, p1421-1444, 24p, 7 Diagrams, 10 Charts, 8 Graphs

PARTICLE swarm optimizat... PRODUCTION planning GENETIC algorithms INTEGER programming MODULAR design
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13

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14

Advances in Soft Computing — AFSS 2002: 2002 AFSS International Conference on Fuzzy Systems Calcutta, India, February 3–6, 2002 Proceedings
Pal, Nikhil R., editor. ; Sugeno, Michio, editor. ; Pal, Nikhil R., editor.

Pattern perception. Artificial Intelligence... Computer science. Artificial intelligence. Computer vision. Optical pattern recognit... …
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15

Multi-objective optimization of overhead transmission lines including the phase sequence optimization.
Acosta, Jhair S. ; Tavares, Maria C.
International Journal of Electrical Power & Energy Systems. Feb2020, Vol. 115, pN.PAG-N.PAG. 1p.

ELECTRIC lines EVOLUTIONARY computation GENETIC algorithms ELECTRICITY pricing PROCESS optimization GOAL programming
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16

Multi-objective steady state optimization of biochemical reaction networks using a constrained genetic algorithm
Link, Hannes ; Vera, Julio ; Weuster-Botz, Dirk ; et al.
Computers & Chemical Engineering. Aug2008, Vol. 32 Issue 8, p1707-1713. 7p.

GENETIC programming COMBINATORIAL optimizati... GENETIC algorithms CHEMICAL reactions MATHEMATICAL optimizatio...
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17

Artificial Intelligence and Soft Computing: 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-28, 2015, Proceedings, Part II
Zurada, Jacek M., editor. ; Zadeh, Lotfi A., editor. ; Tadeusiewicz, Ryszard, editor. ; et al.

Information retrieval. Information organization... Database management. Information Systems Appl... Artificial Intelligence... Computer science. …
Buch
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18

Numerical Optimization Methods for Ship Hydrodynamic Design.
Campana, Emilio F. ; Peri, Daniele ; Yusuke Tahara ; et al.
Transactions of the Society of Naval Architects & Marine Engineers. 2010, Vol. 118, p1-48. 48p.

SHIP hydrodynamics SHIPBUILDING ENGINEERING design COMPUTER simulation NONLINEAR programming
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19

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20

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