Titlebook: Bioinspired Heuristics for Optimization; El-Ghazali Talbi,Amir Nakib Book 2019 Springer Nature Switzerland AG 2019 Bioinspired Heuristics.

柱廊

压舱物

Hybrid Genetic Algorithms to Solve the Multidimensional Knapsack Problem,to dynamically update the ratio values of the items. Two groups of data were used to examine the proposed approaches. A group of simple instances of MKP has been used to examine MSA and a group of complex MKP has been used to examine GAGP. The obtained results indicate that MSA and GAGP have the capability to give solutions of high quality.

反对

Possibilistic Framework for Multi-objective Optimization Under Uncertainty,nce, few works on multi-objective optimization under uncertainty exist today. In our study, we address combinatorial multi-objective problem under uncertainty using the possibilistic framework. To this end, we firstly propose new Pareto relations for ranking the generated uncertain solutions in both

忘川河

Solving the Uncapacitated Single Allocation p-Hub Median Problem on GPU,ing from an initial solution that locates hubs at center nodes, our GPU implementation quickly reaches optimal or near-optimal solutions. It efficiently exploits the computing power of the GPU and outperforms, in cost and in computing time, the other approaches proposed in the literature for this pr

Progesterone

Phase Equilibrium Description of a Supercritical Extraction System Using Metaheuristic Optimizationalgorithms. For the present case, phase equilibrium parameters for the system of supercritical carbon dioxide (sCO.) and some essential oils, were estimated using the corrected version of van der Waals and Wong-Sandler mixing rules, the Peng-Robinson state equation and the more common thermodynamic

Tdd526

BALK

A New Hybrid Method to Solve the Multi-objective Optimization Problem for a Composite Hat-Stiffenedrid meta heuristic is coupled with response surface methodology (or meta modeling) to solve the mechanical multi-objective optimization problem of hat stiffened composite panel. The optimization criteria were the weight and the rigidity of the panel. Experimental results show that our suggested appr

确定

Storage Yard Management: Modelling and Solving,inually invest in process improvement and the development of IT tools. This chapter discusses various optimization problems existing in the process of storing and transporting loads. In this work, an integrated problem of planning and scheduling is defined, a mathematical programming model is invest

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Multi-capacitated Location Problem: A New Resolution Method Combining Exact and Heuristic Approacherized by allowing each facility to be used with different capacity levels. The MCLP solution can be represented as a set of disjoint clusters (pair of one facility and a subset of customers). Creating these clusters satisfies implicitly some constraints of the problem. In this work, we present the n

GULP