Keyword

SPEA2

Description: A strength Pareto evolutionary algorithm used to approximate Pareto-optimal solutions in multi-objective optimization problems.

Primary topic: Advanced Multi-Objective Optimization Algorithms (36%)

OpenAlex ID: keywords/spea2

SPEA2: Improving the strength pareto evolutionary algorithm

2001 · Zitzler, Eckart, Laumanns, Marco, et al. · 5,007

Indicator-Based Selection in Multiobjective Search

2004 · Eckart Zitzler, Simon Künzli · Lecture notes in computer science · 2,414

Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms

2011 · Carlos R. García-Alonso, Leonor M. Pérez-Naranjo, et al. · Annals of Operations Research · 1,353

SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization

2002 · E. Zitzler, K. Giannakoglou, et al. · 1,014

A tutorial on multiobjective optimization: fundamentals and evolutionary methods

2018 · Michael T. M. Emmerich, André H. Deutz · Natural Computing · 734

PDF

Performance Scaling of Multi-objective Evolutionary Algorithms

2003 · V. Khare, X. Yao, et al. · Lecture notes in computer science · 462

Pareto-, Aggregation-, and Indicator-Based Methods in Many-Objective Optimization

2007 · Tobias Wagner, Nicola Beume, et al. · Springer eBooks · 433

PDF

SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2

2004 · Mifa Kim, Tomoyuki Hiroyasu, et al. · Lecture notes in computer science · 409

Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms

2013 · Zhenan He, Gary G. Yen, et al. · IEEE Transactions on Evolutionary Computation · 351

Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion

2006 · Aimin Zhou, Yaochu Jin, et al. · 345

Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design

2005 · J.B. Kollat, P.M. Reed · Advances in Water Resources · 329

Comprehensive assessment and multi-objective optimization of a green concept based on a combination of hydrogen and compressed air energy storage (CAES) systems

2021 · Seyed Mojtaba Alirahmi, Amir Reza Razmi, et al. · Renewable and Sustainable Energy Reviews · 299

MOCell: A cellular genetic algorithm for multiobjective optimization

2009 · Antonio J. Nebro, Juan J. Durillo, et al. · International Journal of Intelligent Systems · 270

PDF

AbYSS: Adapting Scatter Search to Multiobjective Optimization

2008 · Antonio J. Nebro, Francisco Luna, et al. · IEEE Transactions on Evolutionary Computation · 267

A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm

2014 · Siwei Jiang, Jie Zhang, et al. · IEEE Transactions on Cybernetics · 261

Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data

2013 · Urvesh Bhowan, Mark Johnston, et al. · IEEE Transactions on Evolutionary Computation · 259

Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization

2013 · Ivo Couckuyt, Dirk Deschrijver, et al. · Journal of Global Optimization · 254

PDF

Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems

2014 · Xiao-Ning Shen, Xin Yao · Information Sciences · 228

A portfolio optimization model with three objectives and discrete variables

2009 · K.P. Anagnostopoulos, G. Mamanis · Computers & Operations Research · 227

Multiobjective genetic programming: reducing bloat using SPEA2

2002 · S. Bleuler, M. Brack, et al. · Congress on Evolutionary Computation · 221

Diagnostic Assessment of Search Controls and Failure Modes in Many-Objective Evolutionary Optimization

2011 · David Hadka, Patrick Reed · Evolutionary Computation · 213

How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?

2006 · Y. Tang, P. Reed, et al. · Hydrology and earth system sciences · 212

PDF

A multi-objective optimization approach for green and resilient supply chain network design: A real-life case study

2020 · Aliakbar Hasani, Hadi Mokhtari, et al. · Journal of Cleaner Production · 202

A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization

2014 · Khin Lwin, Rong Qu, et al. · Applied Soft Computing · 193

PDF

HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms

2009 · A. Lara, G. Sanchez, et al. · IEEE Transactions on Evolutionary Computation · 188

Works count: 1,724

Citation count: 36,640