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Multi-Objective Decision Making

2017
Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book,
Roijers, Diederik, Whiteson, Shimon
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Multi-objective Optimization

2020
In this chapter, we introduce multi-objective optimization, and recall some of the most relevant research articles that appeared in the literature related to this topic. The presented state of the art does not have the purpose of being exhaustive; it aims to drive the reader to the main problems and the approaches to solve them.
Massimiliano Caramia, Paolo Dell’Olmo
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Multi-Objective Recommendations

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
The development of recommender systems usually deal with single-objective optimizations, such as minimizing prediction errors or maximizing the ranking quality. There is an emerging demand in multi-objective recommendations in which the recommendation list can be generated by optimizing multiple objectives.
Yong Zheng, David (Xuejun) Wang
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Automatic Configuration of Multi-objective Optimizers and Multi-objective Configuration

2019
Heuristic optimizers are an important tool in academia and industry, and their performance-optimizing configuration requires a significant amount of expertise. As the proper configuration of algorithms is a crucial aspect in the engineering of heuristic algorithms, a significant research effort has been dedicated over the last years towards moving this
Bezerra, Leonardo C.T.   +2 more
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Multi-objective Decisions

1989
A sign of maturity is the recognition that one can’t have everything. Compromise and trade-off are almost always unavoidable in real life decision situations, not only when several parties with non-coincident interests are involved but also when one own’s objectives or desires compete with one another for attention or priorities.
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Multi-objective Optimization

2013
Multi-objective optimization is an integral part of optimization activities and has a tremendous practical importance, since almost all real-world optimization problems are ideally suited to be modeled using multiple conflicting objectives. The classical means of solving such problems were primarily focused on scalarizing multiple objectives into a ...
Kalyanmoy Deb, Kalyanmoy Deb
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Multi-Objective Optimization

2016
Introduction (G P Rangaiah) Multi-Objective Optimization Applications in Chemical Engineering (Masuduzzaman & G P Rangaiah) Techniques: Multi-Objective Evolutionary Algorithms: A Review of the State of the Art and Some of Their Applications in Chemical Engineering (A L Jaimes & C A Coello Coello) The Jumping Gene Adaptations of Multi-Objective Genetic ...
Kalyanmoy Deb   +2 more
  +4 more sources

Multi-Objective Scheduling

2014
Starting with Chap. 3, where scheduling models were presented, followed by Chaps. 4 and 5 where constraints and scheduling objectives were outlined, a common assumption so far in this book has been that every scheduling problem and its corresponding model has one single objective or criterion to optimise.
Jose M. Framinan   +2 more
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Multi-objective optimization

2021
Oliver Schütze, Carlos Hernández
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Multi-Objective Optimization

2003
Life is a compromise, often involving more than one objective. Even Noah at the time of the great flood faced the same dilemma. Noah’s problem was to build an ark to accommodate a maximum number of animals and to store the maximum amount of food on the ark.
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