نتایج جستجو برای: adapted harmony search algorithm
تعداد نتایج: 1053083 فیلتر نتایج به سال:
Multi-objective optimization of industrial styrene reactor is done using Harmony Search algorithm. Harmony search algorithm is a recently developed meta-heuristic algorithm which is inspired by musical improvisation process aimed towards obtaining the best harmony. Three objective functions – productivity, selectivity and yield are optimized to get best combination of decision variables for sty...
At the present, energy aware routing is one of the most important research topics in wireless sensor networks. Increasing network lifetime is the most challenging need in these networks. In this study, in order to increase network lifetime, we aim to introduce a harmony search algorithm as a successful meta-heuristic algorithm for routing in the wireless sensor networks. In customizing the algo...
When musicians compose the harmony, they usually try various possible combinations of the music pitches stored in their memory, which can be considered as a optimization process of adjusting the input (pitches) to obtain the optimal output (perfect harmony). Harmony search draws the inspiration from harmony improvisation, and has gained considerable results in the field of optimization, althoug...
Recently, a popular metaheuristic algorithm called Harmony Search, conceptualized using the musical process of searching for a perfect state of harmony is undergoing faster developments. In this paper, a new variant of harmony search called Dynamic Hybrid Harmony Search algorithm (DHHS) is proposed. The novelty introduced in this algorithm is the division of the whole population into few sets o...
due to the fact that the error surface of adaptive infinite impulse response (iir) systems is generally nonlinear and multimodal, the conventional derivative based techniques fail when used in adaptive identification of such systems. in this case, global optimization techniques are required in order to avoid the local minima. harmony search (hs), a musical inspired metaheuristic, is a recently ...
Article history: Received 3 September 2011 Received in revised form 9 December 2012 Accepted 31 December 2012 Available online 16 January 2013
Combinations of metaheuristics to solve highly constrained combinatorial optimisation problems have recently become a promising research area. Some combinations emerge from integrating evolutionary algorithms and local based algorithms to strike the right balance between global exploration of the search region and local exploitation of promising regions. This study presents hybridization betwee...
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