This book opens the door to multiobjective optimization for students in fields such as engineering, management, economics and applied mathematics. It offers a comprehensive introduction to multiobjective optimi
MIXED integer linear programmingBEES algorithmPARTICLE swarm optimizationALGORITHMSIMPERIALIST competitive algorithmIt has been always critical and inevitable to select and assess the appropriate and efficient vendors for the companies such that all the aspects and factors leading to the importance of the ...
p-LP: Linear Program p-MIP: Mixed Integer linear Program p-IP: Integer linear Program vOptSpecific: Multiobjective structured problems / Application Programming Interface (API), 2-LAP: Linear Assignment Problem 2-OSP: One machine Scheduling Problem ...
A robust augmented weighted Tchebycheff program is formulated and its linear counterpart is employed within the interactive robust weighted Tchebycheff procedure to generate robust nondominated solutions. The final portfolio is most preferred by the DM and is...
and then all individuals are assigned fitness by using the method of linear or nonlinear interpolation proposed by Goldberg, and individuals that have the same rank have the same fitness. Through the fitness sharing mechanism, random selection is adopted. MOGA relies too much on the selection of ...
Hu Yuda and Wang Xiaoming, Modified Z-W method for solving the multiobjective linear programming and its rate of convergence, OR Report, Shanghai Jiao Tong University (1989). Yang You, Qin Shiyuan and Hu Yuda, Calculations of principal dimensions of dry cargo ships by two optimization algorithm...
Minimax:minimizes the worst-case values of a set of multivariate functions, possibly subject to linear and nonlinear constraints. Pareto front:finds noninferior solutions—that is, solutions in which an improvement in one objective requires a degradation in another. Solutions are found with either a...
Minimax:minimizes the worst-case values of a set of multivariate functions, possibly subject to linear and nonlinear constraints. Pareto front:finds noninferior solutions—that is, solutions in which an improvement in one objective requires a degradation in another. Solutions are found with either a...
On the basis of mathematical analysis, amultiobjective non-linear programmingmodel on a multiobjective transporting vehicle arrangement is set up. 针对露天矿生产中的一个多目标优化运输问题,基于数学分析,建立了一个多目标非线性规划模型;提出了模型的逐步整数化方法和穷举整数化方法两种快速算法,并利用研制的Ma...
Most industrial optimization problems are sparse and can be formulated as block-separable mixed-integer nonlinear programming (MINLP) problems, defined by linking low-dimensional sub-problems by (linear) coupling constraints. This paper investigates the potential of using decomposition and a novel multi...