Papers Multiobjective Optimization
“Multiobjective Optimization” 태그가 달린 논문 155편 · 필터 해제
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
We introduce COCO, an open source platform for Comparing Continuous Optimizers in a black-box setting. COCO aims at automatizing the tedious and repetitive task of benchmarking numerical optimization algorithms to the gr…
BenchmarkingMultiobjective OptimizationAn Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination
A Pareto Optimal D* Search Algorithm for Multiobjective Path Planning
Path planning is one of the most vital elements of mobile robotics, providing the agent with a collision-free route through the workspace. The global path plan can be calculated with a variety of informed search algorith…
Multiobjective OptimizationA Pareto Front-Based Multiobjective Path Planning Algorithm
Path planning is one of the most vital elements of mobile robotics. With a priori knowledge of the environment, global path planning provides a collision-free route through the workspace. The global path plan can be calc…
Multiobjective OptimizationAveraged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms
In the a posteriori approach of multiobjective optimization the Pareto front is approximated by a finite set of solutions in the objective space. The quality of the approximation can be measured by different indicators t…
Multiobjective OptimizationAnalysis of Solution Quality of a Multiobjective Optimization-based Evolutionary Algorithm for Knapsack Problem
Multi-objective optimisation is regarded as one of the most promising ways for dealing with constrained optimisation problems in evolutionary optimisation. This paper presents a theoretical investigation of a multi-objec…
Multiobjective OptimizationMultiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm
Finding a good classifier is a multiobjective optimization problem with different error rates and the costs to be minimized. The receiver operating characteristic is widely used in the machine learning community to analy…
Binary ClassificationClassificationEvolutionary Algorithmsfeature selection+3Multiobjective Optimization and Unsupervised Lexical Acquisition for Named Entity Recognition and Classification
On the Impact of Multiobjective Scalarizing Functions
Recently, there has been a renewed interest in decomposition-based approaches for evolutionary multiobjective optimization. However, the impact of the choice of the underlying scalarizing function(s) is still far from be…
Multiobjective OptimizationPositionFlower Pollination Algorithm: A Novel Approach for Multiobjective Optimization
Multiobjective design optimization problems require multiobjective optimization techniques to solve, and it is often very challenging to obtain high-quality Pareto fronts accurately. In this paper, the recently developed…
Multiobjective OptimizationApplication of Particle Swarm Optimization to Microwave Tapered Microstrip Lines
Application of metaheuristic algorithms has been of continued interest in the field of electrical engineering because of their powerful features. In this work special design is done for a tapered transmission line used f…
Electrical EngineeringMultiobjective OptimizationMultiobjective Optimization and Comparisonof Nonsingleton Type-1 and Singleton IntervalType-2 Fuzzy Logic Systems
Singleton interval type-2 fuzzy logic systems (FLSs)have been widely applied in several real-world applications, whereit was shown that the singleton interval type-2 FLSs outperformtheir singleton type-1 counterparts in …
Multiobjective OptimizationVocal Bursts Type PredictionA preliminary survey on optimized multiobjective metaheuristic methods for data clustering using evolutionary approaches
The present survey provides the state-of-the-art of research, copiously devoted to Evolutionary Approach (EAs) for clustering exemplified with a diversity of evolutionary computations. The Survey provides a nomenclature …
ClusteringMultiobjective OptimizationSurveyMultiobjective optimization in Gene Expression Programming for Dew Point
The processes occurring in climatic change evolution and their variations play a major role in environmental engineering. Different techniques are used to model the relationship between temperatures, dew point and relati…
Multiobjective OptimizationA Grid-Based Evolutionary Algorithm for Many-Objective Optimization
Balancing convergence and diversity plays a key role in evolutionary multiobjective optimization (EMO). Most current EMO algorithms perform well on problems with two or three objectives, but encounter difficulties in the…
DiversityMultiobjective Optimization