نتایج جستجو برای: two objective optimization

تعداد نتایج: 3078244  

Journal: :4OR 2023

Abstract This paper deals with the problem of cruise itinerary planning which plays a central role in worldwide ship tourism. In particular, Day-by-day Cruise Itinerary Optimization (DCIO) is considered. Assuming that has been planned terms homeports and journey duration, DCIO consists determining daily schedule each so some Key Performance Indicators are optimized. The an itinerary, i.e. seque...

Journal: :energy equipment and systems 2014
rasool bahrampoury ali behbahaninia

in this paper, a multi-objective method is used to optimize a heat recovery steam generator (hrsg). two objective functions have been used in the optimization, which are irreversibility and hrsg equivalent volume. the former expresses the exergetic efficiency and the latter demonstrates the cost of the hrsg. decision variables are geometric and operational parameters of the hrsg. the results of...

Journal: :international journal of robotics 0
mohammad h. saadatzi colorado school of mines mehdi tale masouleh university of tehran morteza daneshmand university of tartu

this paper presents the results of a comprehensive study on the efficiency of planar parallel mechanisms, considering their kinetostatic performance and also, their workspace. this aim is approached upon proceeding single- and multi-objective optimization procedures. kinetostatic performances of ten different planar parallel mechanisms are analyzed by resorting to a recent index, kinematic sens...

2018
Yingyu Zhang Bing Zeng Yuanzhen Li Junqing Li

Multior many-objective evolutionary algorithms(MOEAs), especially the decomposition-based MOEAs have been widely concerned in recent years. The decomposition-based MOEAs emphasize convergence and diversity in a simple model and have made a great success in dealing with theoretical and practical multior many-objective optimization problems. In this paper, we focus on update strategies of the dec...

Journal: :Annals of Operations Research 2018

Journal: :IEEE Access 2023

Striking a balance between objective optimization and constraint satisfaction is essential for solving constrained multi-objective problems (CMOPs). Nevertheless, most existing evolutionary algorithms face significant challenges on CMOPs with intricate infeasible regions. To tackle these challenges, this paper proposes an adaptive two-population algorithm, named ATEA, which dynamically exploits...

2008
ABDULWAHED M. ISMAIL MOHAMAD RUSHDAN Victor Miller

Elliptic curves scalar multiplication over some …nite …elds, attractive research area, which paid much attention by researchers in the recent years. Researchs still in progress to improve elliptic curves cryptography implementation and reducing it’s complexity. Elliptic curve point-halving algorithm proposed in [11] and later double-base chain [3] and step multi-base chain [19] are among e¢ cie...

Journal: :modeling and simulation in electrical and electronics engineering 2015
seyed hasan mirhoseini seyed mehdi hosseini mehdi ghanbari majid gandomkar

in this paper, a multi-objective reconfiguration problem has been solved simultaneously by a modified ant colony optimization algorithm. two objective functions, real power loss and energy not supplied index (ens), were utilized. multi-objective modified ant colony optimization algorithm has been generated by adding non-dominated sorting technique and changing the pheromone updating rule of ori...

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