By Albert Nijenhuis, Herbert S. Wilf
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Additional info for Combinatorial Algorithms for Computers and Calculators, Second Edition (Computer Science and Applied Mathematics)
2001). CO2 Reforming of Methane by the Combination of Dielectric-Barrier Discharges and Catalysis. Phys. Chem. Chem. Phys. K. (2009). Multi-objective optimization of simulated counter current moving bed chromatographycs reactor for oxidative coupling of methane. Chem. Eng. Sci. C. (2001). Modeling and Optimization of the Combined Carbon Dioxide Reforming and Partial Oxidation of Natural Gas. Appl. Catal. A: Gen. F. (2004c). Carbon Dioxide Reforming of Methane Using DC Corona Discharge Plasma Reaction.
A. (2004). Characterization of Efficient Solutions of Multi-Objective E-Convex Programming Problems. Appl. Math. Comp. K. (2003). Application of Multiobjective Optimization in The Design and Operation of Reactive SMB and Its Experimental Verification. Ind. Eng. Chem. Res. , & Eliasson, B. (2001). Conversion of Greenhouse Gases to Synthesis Gas and Higher Hydrocarbons. Energy Fuels. K. (2002b). Multiobjective Optimization of SMB and Varicol Process for Chiral Separation. AIChE J. 48: 2800-2816. , & Hu, S.
0 p0m = [ randn() / 5 + ε rm ( ( 0 randn() / 5 + am ] ) ξmk = min max ξmk , ξmin , ξmax (18) ) (19) In this first FSS optimization example, we intended to verify the execution of continuousGA and improved-GA algorithms. The algorithms start with the same initial population with 25 individuals distributed according to (18) and subject to restriction given in (19). 10 GHz. 2, A=30, B=10-9, Nvar=2, and Npop=25, we simulated up to 600 iterations. In Fig. 11(a) is presented the initial, intermediate, and final populations, as well as, the continuous-GA path plotted over the cost surface contours.