Evolving dynamic multiple-objective optimization problems with objective replacement [PDF]
, 2005 This paper studies the strategies for multi-objective optimization in a dynamic environment. In particular, we focus on problems with objective replacement, where some objectives may be replaced with new objectives during evolution.
Mo, W, Guan, SU, Chen, Q
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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.
Tiwari, Ashutosh +3 more
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Integrated qualitativeness in design by multi-objective optimization and interactive evolutionary computation. [PDF]
, 2005 - The concept of qualitativeness in design is an important one, and needs to be incorporated in the optimization process for a number of reasons outlined in this paper.
Tiwari, Ashutosh +2 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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Energies, 2020 Permanent magnet synchronous machines provide many dramatic electromagnetic performances such as high efficiency and high power density, which make them more competitive in aircraft electrification, whereas, designing a permanent magnet starter–generator
Bo Wang +5 more
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Multi-Swarm Optimization for Extracting Multiple-Choice Tests From Question Banks
IEEE Access, 2021 In this study, a novel method for generating multiple-choice tests is presented, which extracts the required number of tests of the same levels of difficulty in a single attempt and approximates the difficulty level requirement given by users. We propose
Tram Nguyen +6 more
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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
doaj
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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Novel PIO Algorithm with Multiple Selection Strategies for Many-Objective Optimization Problems
Complex System Modeling and Simulation, 2021 With the increase of problem dimensions, most solutions of existing many-objective optimization algorithms are non-dominant. Therefore, the selection of individuals and the retention of elite individuals are important.
Zhihua Cui +5 more
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