Multiobjective multitasking evolutionary algorithms have shown promising performance for
tackling a set of multiobjective optimization tasks simultaneously, as the optimization …

Optimization problem of space scale expansion widely exists in practical applications, such
as transportation, logistics, scheduling, social networks, etc. According to different expansion …

Multiobjective multitasking optimization (MTO) needs to solve a set of multiobjective
optimization problems simultaneously, and tries to speed up their solution by transferring …

A key concern when undertaking any form of optimisation is how to characterise the quality
of the putative solution returned. In many-objective optimisation an added complication is …

To enhance the generalization of multi-objective feature selection (MOFS) in classification,
this paper proposes an evolutionary multitasking algorithm, diverging from previous …

Аннотация Цели. Часто применяемый метод поиска оптимальных по Парето решений
состоит в минимизации выбранного показателя качества при задании ограничений на …

Аннотация Цели. Вопрос о выборе метода решения задачи многокритериальной
оптимизации из множества известных методов актуален для многих практических …

The evaluation and analysis of optimisation algorithms through benchmarks is an important
aspect of research in evolutionary computation. This is especially true in the context of many …

Цели. Часто применяемый метод поиска оптимальных по Парето решений состоит в
минимизации выбранного показателя качества при задании ограничений на …

Objectives. The selection of a method for solving multi-objective optimization problems has
many practical applications in diverse fields. The present work compares the results of …