Results 91 to 100 of about 4,635,823 (252)

Multiobjectivization with NSGA-ii on the noiseless BBOB testbed [PDF]

Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, 2013
The idea of multiobjectivization is to reformulate a single-objective problem as a multiobjective one. In one of the scarce studies proposing this idea for problems in continuous domains, the distance to the closest neighbor (DCN) in the population of a multiobjective algorithm has been used as the additional (dynamic) second objective.
Tran, Thanh-Do, Brockhoff, Dimo, Derbel, Bilel   +2 more
openaire   +2 more sources

Short‐Term Scheduling Optimization of a Single‐Pipeline Refining System With High Melting Point Crude Oil

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In order to reflect the actual production situation more comprehensively and optimize the production cost, this paper solves the short‐term scheduling optimization problem for a single pipeline containing high melting point crude oil. Based on the refining plan given by the upper layer, a multi‐objective optimization model with high melting ...
Jing Yao, Xianxin Liu, Zhen Pan, Chengming Hao, Xiangwei Xu, Wei Jia   +5 more
wiley   +1 more source

A New Mechanism for Maintaining Diversity of Pareto Archive in Multiobjective Optimization

, 2010
The article introduces a new mechanism for selecting individuals to a Pareto archive. It was combined with a micro-genetic algorithm and tested on several problems.
András Szöllös, Arakawa, Bleuler, Coello, Coello, Deb, Deb, Jakub Šístek, Jaroslav Hájek, Knowles, Szöllös, Zitzler, Zitzler   +12 more
core   +1 more source

Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study [PDF]

, 2016
Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the prototyping architecture of a tool aimed to solve Big Data Optimization problems.
C Coello, CH Papadimitriou, G Reinelt, J Durillo, J Garcia-Nieto, K Deb, K Deb, M Farina, M Marr, T White   +9 more
core   +1 more source

Optimal Placement of SVC using NSGA-II

International Journal of Grid and Distributed Computing, 2016
Improving voltage stability, reducing real power loss (PL) and voltage deviation (VD) are the most important tasks in the operation of electrical power systems. Voltage instability and voltage collapse are the severe problems which may take place because of deficit reactive power at load buses due to increased loading or contingencies.
Shishir Dixit, Laxmi Srivastava, Ganga Agnihotri   +2 more
openaire   +1 more source

Automatic configuration of NSGA-II with jMetal and irace [PDF]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
Nebro, Antonio J., Lopez-Ibanez, Manuel, Barba-Gonzalez, Cristobal, Garcia-Nieto, Jose   +3 more
openaire   +4 more sources

Compact NSGA-II for Multi-objective Feature Selection

2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023
Feature selection is an expensive challenging task in machine learning and data mining aimed at removing irrelevant and redundant features. This contributes to an improvement in classification accuracy, as well as the budget and memory requirements for classification, or any other post-processing task conducted after feature selection.
Miyandoab, Sevil Zanjani, Rahnamayan, Shahryar, Bidgoli, Azam Asilian   +2 more
openaire   +2 more sources

Optimizing Structural Parameters of a Water Distribution Device in Cylindrical High‐Flowrate Mixed Bed Using Multiobjective Genetic Algorithm

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT High‐flowrate mixed bed is the foremost desalination equipment in the condensate polishing system. The water distribution device determining the water distribution uniformity directly affects its operation stability, output water quality, and service life of the resins.
Jing Zhu, Yuhan Liu, Kai Tuo, Xiaohong Zhang, Zhe Xia, Zhao Wang   +5 more
wiley   +1 more source

Freeway Traffic Congestion Reduction and Environment Regulation via Model Predictive Control

Algorithms, 2019
This paper proposes a model predictive control method based on dynamic multi-objective optimization algorithms (MPC_CPDMO-NSGA-II) for reducing freeway congestion and relieving environment impact simultaneously. A new dynamic multi-objective optimization
Juan Chen, Yuxuan Yu, Qi Guo
doaj   +1 more source

An investigation into minimising total energy consumption and total completion time in a flexible job shop for recycling carbon fiber reinforced polymer [PDF]

, 2015
The increased use of carbon fiber reinforced polymer (CFRP) in industry coupled with European Union restrictions on landfill disposal has resulted in a need to develop relevant recycling technologies.
Liu, Ying, Tiwari, Ashutosh
core   +1 more source