Many-Criteria Optimization and Decision Analysis: State-Of-The-Art, Present Challenges, and Future Perspectives

Dimo Brockhoff is a researcher at Inria, France, and member of the Randomized Optimization team that is co-located with Ecole Polytechnique, IP Paris. He studied computer science in Dortmund, Germany and received a PhD from ETH Zurich, Switzerland for his work "Many-Objective Optimization and Hypervolume Based Search". His research interests are focused on multiobjective optimization and benchmarking.

Michael Emmerich is an Associate Professor at Leiden University and has recently also been an international research fellow at the University of Jyväskylä, Finland. At Leiden University he leads since 2011 the Multi-objective Optimization and Decision Analysis (MODA) research group. He received his doctorate in 2005 on the topic "Gaussian Process Models in Multiobjective Optimization" from TU Dortmund, Germany (promotor: Hans-Paul Schwefel). He chaired four leading international optimization conferences and five Lorentz center workshops. He published more than 200articles on multiobjective optimization, mainly indicator-based algorithms and Bayesian multiobjective optimization, and applications such as architectural design, logistics, and computational chemistry.

Boris Naujoks is a professor of Applied Mathematics at TH Köln - Cologne University of Applied Sciences (THK). He joined THK directly after he received his PhD from Dortmund Technical University in 2011. During his time in Dortmund, Boris worked as a research assistant in different projects and gained industrial experience working for different SMEs. Now, he enjoys the combination of teaching mathematics as well as computer science and exploring EC and CI techniques at the Campus Gummersbach of THK. He focuses on multiobjective (evolutionary) optimization, in particular hypervolume based algorithms, benchmarking, and the (industrial) applicability of such techniques.

Robin Purshouse is Professor of Decision Sciences at the University of Sheffield, UK. He received his PhD in Control Systems from the University of Sheffield in 2004 for his thesis "On the Evolutionary Optimisation of Many Objectives", which was one of the earliest works on the topic of many-criteria optimization. He was General Chair of the Seventh International Conference on Evolutionary Multi-Criterion Optimization held in Sheffield in 2013. His research interests in multi-objective optimization are inspired by real-world problems and include robust optimization, surrogate-based optimization, and multi-disciplinary optimization.

Dimo Brockhoff 是法國 Inria 的研究員，也是與巴黎高科（Ecole Polytechnique）共同設置的隨機優化團隊的成員。他在德國多特蒙德學習計算機科學，並因其在「多目標優化與基於超體積的搜尋」方面的研究獲得瑞士蘇黎世聯邦理工學院（ETH Zurich）的博士學位。他的研究興趣集中在多目標優化和基準測試上。

Michael Emmerich 是萊頓大學的副教授，最近也曾擔任芬蘭於瓦斯基拉大學的國際研究學者。自2011年以來，他在萊頓大學領導多目標優化與決策分析（MODA）研究小組。他於2005年在德國多特蒙德工業大學獲得「多目標優化中的高斯過程模型」主題的博士學位（指導教授：Hans-Paul Schwefel）。他曾擔任四個國際優化會議的主席以及五個洛倫茨中心研討會的主席。他在多目標優化方面發表了超過200篇文章，主要涉及基於指標的演算法和貝葉斯多目標優化，以及應用於建築設計、物流和計算化學等領域。

Boris Naujoks 是科隆應用科技大學（TH Köln - Cologne University of Applied Sciences, THK）應用數學的教授。他在2011年從多特蒙德工業大學獲得博士學位後，直接加入THK。在多特蒙德期間，Boris在不同項目中擔任研究助理，並在多家中小企業獲得了工業經驗。現在，他享受教授數學和計算機科學的結合，並在THK的Gummersbach校區探索進化計算（EC）和計算智能（CI）技術。他專注於多目標（進化）優化，特別是基於超體積的演算法、基準測試以及這些技術的（工業）應用性。

Robin Purshouse 是英國謝菲爾德大學的決策科學教授。他於2004年在謝菲爾德大學獲得控制系統的博士學位，論文題目為「多目標的進化優化」，這是多標準優化主題上最早的研究之一。他曾擔任2013年在謝菲爾德舉行的第七屆國際進化多標準優化會議的總主席。他在多目標優化方面的研究興趣受到現實世界問題的啟發，包括穩健優化、基於代理的優化和多學科優化。