نتایج جستجو برای: improved harmony search

تعداد نتایج: 730209  

Journal: :Water 2021

CE-QUAL-W2 is widely used for simulating hydrodynamics and water quality of the aquatic environments. Currently, model calibration mainly based on trial error, therefore it subject to knowledge experience users. The Particle Swarm Optimization (PSO) algorithm has been tested automatic CE-QUAL-W2, but an issue prematurely converging a local optimum. In this study, we proposed Improved Global-Bes...

Journal: :J. Applied Mathematics 2013
Jaco Fourie Richard D. Green Zong Woo Geem

Harmony search (HS) was introduced in 2001 as a heuristic population-based optimisation algorithm. Since then HS has become a popular alternative to other heuristic algorithms like simulated annealing and particle swarm optimisation. However, some flaws, like the need for parameter tuning, were identified and have been a topic of study for much research over the last 10 years. Many variants of ...

In this paper an integrated lot-sizing and scheduling problem in a flexible job shop environment with machine-capacity-constraint is studied. The main objective is to minimize the total cost which includes the inventory costs, production costs and the costs of machine’s idle times. First, a new mixed integer programming model,with small bucket time approach,based onProportional Lot sizing and S...

2016
Lin Wang Xiaojian Zhou

To solve joint replenishment problems (JRPs) effectively and efficiently which are typical NP-hard problems, an improved self-adaptive harmony search algorithm (ISHS) is designed. The proposed algorithm applies differential evolution mutation strategies to HS. Experimental results show that ISHS outperforms other start-of-art algorithms on both tested benchmark functions and typical JRPs.

Journal: :Knowl.-Based Syst. 2015
Youwei Wang Yuanning Liu Lizhou Feng Xiaodong Zhu

25 26 27 28 29 30 31 32 33 34 35 36 Article history: Received 22 February 2014 Received in revised form 14 October 2014 Accepted 15 October 2014 Available online xxxx

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