Mar 1, 2011 · A multiobjective evolutionary algorithm based on decomposition (MOEA/D) [28] is a recent multiobjective evolutionary algorithmic framework. It is based on conventional …

Jan 4, 2021 · This chapter attempts to provide a general overview of multi-objective evolutionary algorithms, starting from their early origins, then moving in chronological order towards some …

In this chapter, we present a brief description of an evolutionary optimization procedure for single-objective optimization. Thereafter, we describe the principles of evolutionary multi-objective …

In this paper, four multiobjective EAs are compared quantitatively where an extended 0/1 knapsack problem is taken as a basis. Furthermore, we introduce a new evolutionary …

Apr 26, 2024 · Therefore, we present a systematic review of the current state-of-the-art frameworks, analyzing their features from multiple perspectives such as algorithms and …

Aug 1, 2019 · Multi-objective evolutionary algorithm (MOEA) is the main method to solve multi-objective optimization problem (MOP), which has become one of the hottest research areas of …

Contents Foreword Preface 1 Prologue 1.1 Single and Multi-Objective Optimization 1.1.1 Fundamental Differences 1.2 Two Approaches to Multi-Objective Optimization 1.3 Why …

Jan 1, 2011 · Starting with parameterised procedures in early 90s, the so-called evolutionary multi-objective optimisation (EMO) algorithms is now an established field of research and …

Jul 8, 2021 · Previous theory work on multi-objective evolutionary algorithms considers mostly easy problems that are composed of unimodal objectives. This paper takes a first step towards …

3 days ago · Section “ The proposed MOEA-based complex detection algorithm ” presents a multi-objective evolutionary algorithm formulated with GO-based methods, focusing on gene …