Mohlo by sa vám tiež páčiť

Viac informácií o knihe Beedea's Performance on Knapsack Problem

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 86 bodov

Anotácia 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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Literature & literary studies Literature: history & criticism Literary studies: general

• Celý názov: Beedea's Performance on Knapsack Problem
• Autor: Hédia Zardi
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 76
• EAN: 9786131576164
• ISBN: 6131576165
• ID: 07165112
• Nakladateľ: Omniscriptum
• Hmotnosť: 122 g
• Rozmery: 229 × 152 × 5 mm
• Dátum vydania: 28. February 2018

Obľúbené z iného súdka

---

---

---