[PDF] Top 20 A multi-objective optimization model for process targeting

... system, optimization of the product or process is essential to achieve significant economic benefits (Goethals and Cho, 2012) due to the variations of raw material, labor, production, the quality ... See full document

... an optimization model based on multi-objective production ...the optimization solution proposed by this model can give decisive supports to the production planning for ... See full document

... single objective optimization for maximum radial ...each objective separately. Bressloff [31] recast the optimization as a constrained prob- lem, wherein design improvement is sought in one ... See full document

... In some cases, the validation results are very good, where the red points are just located at the centre of purple zone, such as cases 1, 2, 3, 4 and 6. For example, in case 1, the red points are evenly distributed in ... See full document

... The Particle Swarm Optimization (PSO) algorithm imitates the information sharing process of a flock of birds searching for food. The population-based PSO conducts a search using a population of ... See full document

... in multi-project environments could achieve reliable and on-time delivery within a short ...a Multi-Objective Imperialist Competitive Algorithm (MOICA) to solve Discrete Time–Cost– Quality Trade-off ... See full document

... whole process is formulated as improved multi-objective problem solved by the particle swarm ...improved multi-objective particle swarm optimization algorithm (IMOPSO) is ... See full document

... portfolio optimization has been traditionally dealt with maximization of the profit or minimization of the ...a model with the objective of maximizing the expected value of the shared surplus of the ... See full document

... for optimization process of biochemical system production is a good ...is multi- objective problem. There are many methods in solving multi-objective problems and the famous ... See full document

... multi-objective optimization model for scheduling of the regional passenger's bus routing problem was formulated where by a mixed-integer programming was used to address the conflicting ... See full document

... each objective from its perspective goal (Charnes and Cooper ...GP model, all of the objectives are assigned target levels for achievement and a relative importance for achieving these ...the ... See full document

... Although the image projection histogram obtained from the three-dimensional histogram has certain noise immunity, the selection of the threshold value is based only on the maximum between-class variance criteria, and the ... See full document

... forming process with local induction heating and axial compression to fabricate the metallic ...SPF process, the tubular blank is restrained in a multi-layer die block assembly and the bellows formed ... See full document

... the model are viewed as a subset of the stake- holders' ...the model were a subset of those identi fi ed by Gil et ...the model which stakeholders will be considering when they interpret the ...the ... See full document

... standard optimization. The GA and SA optimization of the hard milling process of regression models was simulated using a matlab ...both optimization procedures, the lower bound values and ... See full document

... input process parameters are significantly affects the performance ...for process is 95%. The selected process parameter is significant or not is determined by the ... See full document

... apply multi-objective models (MOMs) for solving the cell formation ...bi- objective model for solving the CFP that minimizes the inter-cell movements and cell loading unbalances ...a ... See full document

... main objective of the external archive is to keep a historical record of the non-dominated vectors found along the search ...in multi-objective optimization algorithms to manage the ...the ... See full document

... ARH process modifies the original database without changing any non-sensitive rules and ...search optimization algorithm that was developed for hiding the sensitive association rules (COA4ARH) was proposed ... See full document

... where small changes might have a large impact. We used a cluster analysis to identify distinct management strategies with similar management actions and use these clusters to link the trade -off curves to possibilities ... See full document