نتایج جستجو برای: multi objective optimisation

تعداد نتایج: 1003519  

Journal: :Aerospace Science and Technology 2023

In the context of aircraft applications, overall design process can be challenging due to different aerodynamic requirements at several operating conditions and total associated computational overhead. For this reason, use low order models for optimisation complex non-linear problems is sometimes used. This paper addresses challenge transonic through integration a set neural networks prediction...

Journal: :CAAI Transactions on Intelligence Technology 2023

Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi-objective optimisation (DMO), challenging since sampling space is time- space-varying. Therefore, spatiotemporal property of evolutionary information needs to be considered DMO. In present study, a sliding-time-window-based clustering method (SPC) proposed effectively solve problems (DMOPs). S...

2004
Jonathan E. Fieldsend

This study compares a number of selection regimes for the choosing of global best (gbest) and personal best (pbest) for swarm members in multi-objective particle swarm optimisation (MOPSO). Two distinct gbest selection techniques are shown to exist in the literature, those that do not restrict the selection of archive members and those with ‘distance’ based gbest selection techniques. Theoretic...

2001
Nicole Drechsler Rolf Drechsler Bernd Becker

Many optimisation problems in circuit design, in the following also refereed to as VLSI CAD, consist of mutually dependent sub-problems, where the resulting solutions must satisfy several requirements. Recently, a new model for Multi-Objective Optimisation (MOO) for applications in Evolutionary Algorithms (EAs) has been proposed. The search space is partitioned into socalled Satisfiability Clas...

2017
Md. Shahriar Mahbub Markus Wagner Luigi Crema

The typical goal in multi-objective optimization is to find a set of good and well-distributed solutions. It has become popular to focus on specific regions of the objective space, e.g., due to market demands or personal preferences. In the past, a range of different approaches has been proposed to consider preferences for regions, including reference points and weights. While the former techni...

Journal: :Eur. J. Control 2003
Yi Cao Wenjun Yan

Restricted complexity controller design for the active suspension benchmark problem [1] is considered. The control design specifications of the benchmark is firstly recast into a mixed H∞/l1 optimisation problem, which is solved via a convex optimisation approach. A globally optimal Pareto curve is produced via the optimisation. It presents the limits of performance and is served as a reference...

2007
Piotr Woźniak

Multi-objective optimisation (MOO) is an important class of problem in engineering. The conflict of objectives in MOO places the issue of compromise in a central position. Since no single solution optimises all objectives, decision-making based on human preference is a part in solving MOO problems. In this paper application of the evolutionary MOO to the dynamic system controller design by use ...

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