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Více informací o knize Beedea's Performance on Knapsack Problem

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• Anotace
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Anotace knihy

Most real world problems require the simultaneous optimization of multiple, competing, criteria (or objectives). In this case, the aim of a multiobjective resolution approach is to find a number of solutions known as Paretooptimal solutions. Evolutionary algorithms manipulate a population of solutions and thus are suitable to solve multi-objective optimization problems. In addition parallel evolutionary algorithms aim at reducing the computation time and solving large combinatorial optimization problems. In this work we study the performance of the Balanced Explore Exploit Distributed Evolutionary Algorithm (BEEDEA) [1] on the multi-objective Knapsack problem which is a combinatorial optimization problem. BEEDA is implemented after some improvements and tested on the Knapsack problem. Key words: multi-objective optimization, evolutionary algorithms, Knapsack problem, distributed metaheuristics.

Parametry knihy

Zařazení knihy Knihy v angličtině Literature & literary studies Literature: history & criticism Literary studies: general

• Plný název: Beedea's Performance on Knapsack Problem
• Autor: Hédia Zardi
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 76
• EAN: 9786131576164
• ISBN: 6131576165
• ID: 07165112
• Nakladatelství: Omniscriptum
• Hmotnost: 122 g
• Rozměry: 229 × 152 × 5 mm
• Datum vydání: 28. February 2018

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