Complexity and variety of modern multiobjective optimisation problems result in the
emergence of numerous search techniques, from traditional mathematical programming to …

多目标进化算法性能评价指标研究综述 Page 1 第??卷第?期 计算机学报 Vol. ?? No. ? 20??年
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Evaluation and benchmarking of many-objective optimization (MaOO) methods are
complicated. The rapid development of new optimization algorithms for solving problems …

Problems involving four or more objectives are termed Many-objective problems (MaOPs),
which pose serious challenges to existing evolutionary algorithms (EAs). Although EAs via …

This chapter describes the state-of-the-art in visualisation for decision support processes in
problems with many objectives. Visualisation is an important part of a constructive decision …

Multiobjective evolutionary algorithms (MOEAs) effectively solve several complex
optimization problems with two or three objectives. However, when they are applied to many …

The maglev system has been developed rapidly in recently years since its advantage in
mass transportation, ride comfort and energy efficiency, which also caused an increasing …

Aiming at the difficulty in evaluating preference-based evolutionary multiobjective
optimization, this paper proposes a new performance indicator. The main idea is to project …

Dominance move (DoM) is a binary quality indicator that can be used in multiobjective and
many-objective optimization to compare two solution sets obtained from different …

(1) Background: The Electronic Medical Record system, which is a digital medical record
management architecture, is critical for reliable medical research. It facilitates the …