Open Access
SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
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The article was published on 2002-01-01 and is currently open access. It has received 1972 citations till now. The article focuses on the topics: Pareto principle & Multi-objective optimization.read more
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Book ChapterDOI
Slicing and Dicing Soccer: Automatic Detection of Complex Events from Spatio-Temporal Data
Lia Morra,Francesco Manigrasso,Giuseppe Canto,Claudio Gianfrate,Enrico Guarino,Fabrizio Lamberti +5 more
TL;DR: To counterbalance the lack of suitable, annotated public datasets, this paper built on an open source soccer simulation engine to re-lease the synthetic SoccER (Soccer Event Recognition) dataset, which includes complete positional data and annotations for more than 1.6 mil-lion atomic events and 9,000 complex events.
Journal ArticleDOI
Multi-objective design optimization for a two-stage transmission system under heavy load condition
TL;DR: A novel metaheuristics algorithm, Crow Search Algorithm, is extended to a multi-objective decision scenario based on the strategy embedded in the preference-inspired co-evolutionary algorithm using weights (PICEA-w), and a hoisting transmission optimization problem from heavy cable shovel excavator is solved.
Developing collaborative planning support tools for optimised farming in Western Australia: a methodology.
TL;DR: In this article, the authors developed a prototype Land-use Decision Support System (LUDSS) to aid farm managers in their tactical farm management decision making, which is based on a Multiple Objective Decision-making (MODM) á Posteriori approach incorporating an Exhaustive Search method.
Book ChapterDOI
Bilevel Multi-Objective Optimization and Decision Making
Ankur Sinha,Kalyanmoy Deb +1 more
TL;DR: The study opens up a variety of issues related to multi-objective bilevel programming, and shows that evolutionary methods are effective in solving such problems.
Journal ArticleDOI
Dynamic multiobjective optimization algorithm based on average distance linear prediction model.
TL;DR: A kind of dynamic multiobjectives problem with translational Paretooptimal set (DMOP-TPS) is defined and a new prediction model named ADLM is proposed for solving DMOP-TP and the simulation results show that the proposed prediction model outperforms other prediction models for DMop-TPS.