Kniha Beedea's Performance on Knapsack Problem Hédia Zardi

Beedea's Performance on Knapsack Problem

Autor: Hédia Zardi
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Omniscriptum
Dostupnosť: Skladom u dodávateľa
Odosielame za 5-8 dní
34.67
Most real world problems require the simultaneous optimization of multiple, competing, criteria (or...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2018
Stránok
76
EAN
9786131576164
ISBN
6131576165
Enbook ID
07165112
Vydavateľ
Hmotnosť
122
Rozmery
152 x 229 x 5

Kompletný popis

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.

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