Multi-agent collaborative search : an agent-based memetic multi-objective optimization algorithm applied to space trajectory design [PDF]
, 2011 This article presents an algorithm for multi-objective optimization that blends together a number of heuristics. A population of agents combines heuristics that aim at exploring the search space both globally and in a neighbourhood of each agent.
Vasile, M. +3 more
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Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems. [PDF]
, 2006 We propose a sequential interactive genetic algorithm (IGA), multi-objective IGA and parallel IGA, and evaluate them with both simulated and real users.
Ramsden, Jeremy +10 more
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Hybrid behavioural-based multi-objective space trajectory optimization [PDF]
, 2009 In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space.
Vasile, M., Vasile, Massimiliano
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Optimization of Power Grasps for Multiple Objects.
TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C, 2002 Power grasp is a grasp that can hold objects stably without changing the joint torques of fingers. Almost all studies on power grasp deal with one object, but it is more efficient to hold multiple objects at the same time. This paper derives a condition for power grasp for multiple objects, and defines an optimal power grasp from the viewpoint of ...
Tsuneo Yoshikawa +2 more
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International Journal of Electrochemical Science, 2020 Modern Stirling engine has been paid more and more attention because of its wide adaptability of various energy sources and excellent environmental characteristics.
Liwei Chen, Yingyan Lin
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Inventory classification by multiple objective particles swarm optimization [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2014 Inventory classification is one of important techniques in inventory controlcontext. Managers have to classify inventories because of their variety andhigh volume.
Mansour Esmaeilzadeh +2 more
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Multi-Swarm Single-Objective Particle Swarm Optimization to Extract Multiple-Choice Tests [PDF]
Vietnam Journal of Computer Science, 2019 This paper proposes the use of multi-swarm method in particle swarm optimization (PSO) algorithm to generate multiple-choice tests based on assumed objective levels of difficulty.
Tram Nguyen, Toan Bui, Bay Vo
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Multiple Objective Optimization of a Mass Transfer in Stirred Tank Bioreactors [PDF]
Bioautomation, 2009 In the present study we used the concept of Pareto for solving multiple objective optimisation of the mass transfer in a stirred tank bioreactor. The model of the mass transfer is formulated as a general multiple objective optimization problem.
Petrov M., Tzonkov St.
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Learning-based ship design optimization approach [PDF]
, 2012 With the development of computer applications in ship design, optimization, as a powerful approach, has been widely used in the design and analysis process.
Philip Sayer +5 more
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Multi-objective particle swarm optimization by fusing multiple strategies
Journal of Measurement Science and Instrumentation, 2022 To improve the convergence and distributivity of multi-objective particle swarm optimization, we propose a method for multi-objective particle swarm optimization by fusing multiple strategies (MOPSO-MS), which includes three strategies.
XU Zhenxing, ZHU Shuiran
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