Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics
نویسندگان
چکیده
منابع مشابه
Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics
The application of multi-objective optimisation to evolutionary robotics is receiving increasing attention. A survey of the literature reveals the different possibilities it offers to improve the automatic design of efficient and adaptive robotic systems, and points to the successful demonstrations available for both task-specific and task-agnostic approaches (i.e., with or without reference to...
متن کاملCorrection: Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics
Many real-world optimization problems are evaluated in terms of multiple, often conflicting criteria or objective functions. When there is no a priori information about the importance of each objective, the solutions to such a multi-objective optimization (MOO) problem are usually compared in terms of Pareto dominance [1, 2]: A solution dominates another one if the former is not worse than the ...
متن کاملAdvantages of Multi-Objective Optimisation in Evolutionary Robotics: Survey and Case Studies
The application of multi-objective optimisation to evolutionary robotics has been so far relatively limited. Despite a few examples exist, the benefits of multi-objective optimisation when applied to the design of autonomous robotic systems have not been clearly spelled out and experimentally demonstrated. A survey of the literature on evolutionary robotics shows the lack of systematic studies ...
متن کاملPreferences in Evolutionary Multi-Objective Optimisation
Multi-objective optimisation (MOO) is an important class of problem in engineering. The conflict of objectives in MOO places the issue of compromise in a central position. Since no single solution optimises all objectives, decision-making based on human preference is a part in solving MOO problems. In this paper application of the evolutionary MOO to the dynamic system controller design by use ...
متن کاملPhylogenetic Inference using Evolutionary Multi-objective Optimisation
Evolutionary relationships among species are usually (i) illustrated by means of a phylogenetic tree and (ii) inferred by optimising some measure of fitness, such as the total evolutionary distance between species or the likelihood of the tree (given a model of the evolutionary process and a data set). The combinatorial complexity of inferring the topology of the best tree makes phylogenetic in...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2015
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0136406