• PAMUC

  • Referenced in 8 articles [sw02537]
  • handle with constraints and multiobjectivity in evolutionary algorithms. Multiobjective optimization using evolutionary algorithms...
  • evtree

  • Referenced in 7 articles [sw14304]
  • evtree: Evolutionary Learning of Globally Optimal Trees. Commonly used classification and regression tree methods like ... CART algorithm are recursive partitioning methods that build the model in a forward stepwise search ... global optimization methods like evolutionary algorithms. The evtree package implements an evolutionary algorithm for learning...
  • KaHIP

  • Referenced in 7 articles [sw19376]
  • KaFFPaE (KaFFPaEvolutionary) which is a parallel evolutionary algorithm that uses KaFFPa to provide combine ... well as KaBaPE which extends the evolutionary algorithm. Moreover, specialized techniques are included to partition...
  • METCO

  • Referenced in 5 articles [sw19036]
  • best known multi-objective evolutionary algorithms. The plugin-based architecture of the framework minimizes ... incorporate their own problems and evolutionary algorithms, and facilitates tool maintenance. A wide variety ... cooperation of a set of evolutionary algorithms. The aim of the new model ... generality at which most current evolutionary algorithms operate. This way, a wider range of problems...
  • PUNCH

  • Referenced in 6 articles [sw02447]
  • PUNCH: An evolutionary algorithm for optimizing bit set selection. Nearly every nucleotide-based computing problem ... present a program that uses an evolutionary algorithm to generate optimum bit sets using given...
  • HEMO

  • Referenced in 8 articles [sw02403]
  • capability of multi-objective evolutionary algorithms (MOEAs) to handle premature convergence is critically important when ... fundamental cause of premature convergence in evolutionary search has led to proposing of a generic...
  • DEAP

  • Referenced in 7 articles [sw08467]
  • DEAP: evolutionary algorithms made easy. DEAP is a novel evolutionary computation framework for rapid prototyping ... frameworks in that it seeks to make algorithms explicit and data structures transparent, as opposed...
  • IT-CEMOP

  • Referenced in 5 articles [sw02582]
  • CEMOP: an iterative co-evolutionary algorithm for multiobjective optimization problem with nonlinear constraints. Over ... have developed a number of multiobjective evolutionary algorithms (MOEAs). Although most studies concentrate on solving...
  • GENLS

  • Referenced in 5 articles [sw02681]
  • GENLS: Co-evolutionary algorithm for nonlinear system of equations. We present a new optimization system ... constraints. Secondly, an efficient co-evolutionary algorithm is implemented for solving the resulting NLP, which...
  • DEMORS

  • Referenced in 7 articles [sw02773]
  • DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory ... hybridization of a multi-objective evolutionary algorithm (MOEA) and a local search method based ... viable alternative to obtain a robust algorithm able to solve difficult constrained multi-objective optimization ... authors, in: Mike Cattolico (ed.): Genetic and Evolutionary Computation Conference, GECCO 2006, Proceedings, Seattle, Washington...
  • Borg

  • Referenced in 7 articles [sw08873]
  • study introduces the Borg multi-objective evolutionary algorithm (MOEA) for many-objective, multimodal optimization...
  • OPT4J

  • Referenced in 5 articles [sw07054]
  • multi-objective) optimization algorithms such as evolutionary algorithms (including SPEA2 and NSGA2), differential evolution, particle ... goal of Opt4J is to simplify the evolutionary optimization of user-defined problems as well ... implementation of arbitrary meta-heuristic optimization algorithms. For this purpose, Opt4J relies on a module...
  • MOEAT

  • Referenced in 3 articles [sw09211]
  • tool for multiobjective evolutionary algorithms. This paper introduces a software tool based on illustrative applications ... development, analysis and application of multiobjective evolutionary algorithms. The multiobjective evolutionary algorithms tool (MOEAT) written ... using a variety of multiobjective evolutionary algorithms (MOEAs) offers a powerful environment for various kinds ... performance measurements of well-known multiobjective evolutionary algorithms in MOEAT are done using benchmark problems...
  • GAHC

  • Referenced in 6 articles [sw02734]
  • This paper introduces a novel improved evolutionary algorithm, which combines genetic algorithms and hill climbing...
  • LOOPS

  • Referenced in 6 articles [sw01456]
  • generalized networks. Learning is realized by evolutionary algorithms. Essential to the implementation of these concepts...
  • hABCDE

  • Referenced in 4 articles [sw14869]
  • hABCDE: a hybrid evolutionary algorithm based on artificial bee colony algorithm and differential evolution. Artificial ... competitive with other population based algorithms. However, there is still an insufficiency in ABC regarding ... this paper presents a novel hybrid evolutionary algorithm named hABCDE, which integrates a modified...
  • NSPSO

  • Referenced in 16 articles [sw09598]
  • highly competitive with existing evolutionary and PSO multiobjective algorithms...
  • OMOEA-II

  • Referenced in 3 articles [sw02993]
  • efficient multi-objective evolutionary algorithm: OMOEA-II An improved orthogonal multi-objective evolutionary algorithm (OMOEA...
  • emoa

  • Referenced in 5 articles [sw14382]
  • package emoa: Evolutionary Multiobjective Optimization Algorithms. Collection of building blocks for the design and analysis ... evolutionary multiobjective optimization algorithms...
  • XtalOpt

  • Referenced in 3 articles [sw16833]
  • XtalOpt version r9: an open-source evolutionary algorithm for crystal structure prediction. A new version ... XtalOpt, an evolutionary algorithm for crystal structure prediction, is available for download from...