In this chapter Multi-Objective Evolutionary Algorithms (MOEAs) are introduced and some details discussed. It starts by giving a presentation of some of the concepts in which this type of algorithms are based on, in order to address the multi-objective nature of the real-world problems. Then, a summary of the main algorithms behind these approaches and their applications is provided, together with a brief discussion including their advantages and disadvantages, the degree of applicability, and some known applications. Finally, future trends in this area and some possible paths for further research are pointed out
Abstract: This article provides a general overview of the field now known as “evolutionary multi-obj...
Over the past few years, the research on evolutionary algorithms has demonstrated their niche in sol...
In a short span of about 14 years, evolutionary multi-objective optimization (EMO) has established ...
A multiobjective optimization problem involves several conflicting objectives and has a set of Paret...
Abstract: Evolutionary multi-objective optimization (EMO), whose main task is to deal with multi-ob...
The research presented in this dissertation is in the field of Multi-Objective Evolutionary Algorith...
In this book the authors present a complete state-of-the art in the field. Then they give an overall...
In this book the authors present a complete state-of-the art in the field. Then they give an overall...
Evolutionary multiobjective optimization Multiobjective evolutionary algorithms Multicriteria decisi...
In this book the authors present a complete state-of-the art in the field. Then they give an overall...
This book covers the most recent advances in the field of evolutionary multiobjective optimization. ...
Abstract—In the last two decades, multiobjective optimization has become mainstream because of its w...
During the past few decades, many global optimisation and multi-objective evolutionary algorithms ...
Multi-objective optimization problems deal with multiple conflicting objectives. In principle, they ...
Multi-objectivization is the process of reformulating a single-objective problem into a multi-object...
Abstract: This article provides a general overview of the field now known as “evolutionary multi-obj...
Over the past few years, the research on evolutionary algorithms has demonstrated their niche in sol...
In a short span of about 14 years, evolutionary multi-objective optimization (EMO) has established ...
A multiobjective optimization problem involves several conflicting objectives and has a set of Paret...
Abstract: Evolutionary multi-objective optimization (EMO), whose main task is to deal with multi-ob...
The research presented in this dissertation is in the field of Multi-Objective Evolutionary Algorith...
In this book the authors present a complete state-of-the art in the field. Then they give an overall...
In this book the authors present a complete state-of-the art in the field. Then they give an overall...
Evolutionary multiobjective optimization Multiobjective evolutionary algorithms Multicriteria decisi...
In this book the authors present a complete state-of-the art in the field. Then they give an overall...
This book covers the most recent advances in the field of evolutionary multiobjective optimization. ...
Abstract—In the last two decades, multiobjective optimization has become mainstream because of its w...
During the past few decades, many global optimisation and multi-objective evolutionary algorithms ...
Multi-objective optimization problems deal with multiple conflicting objectives. In principle, they ...
Multi-objectivization is the process of reformulating a single-objective problem into a multi-object...
Abstract: This article provides a general overview of the field now known as “evolutionary multi-obj...
Over the past few years, the research on evolutionary algorithms has demonstrated their niche in sol...
In a short span of about 14 years, evolutionary multi-objective optimization (EMO) has established ...