• MODENA

  • Referenced in 3 articles [sw23804]
  • present study, we developed a multi-objective genetic algorithm, MODENA (Multi-Objective DEsign of Nucleic ... optimal solutions in the objective function space of 2 objective functions, a structure stability score ... inverse folding programs. The multi-objective genetic algorithm gives a useful framework for a functional...
  • MOGADES

  • Referenced in 4 articles [sw02543]
  • MOGADES: Multi-objective genetic algorithm with distributed environment scheme...
  • DCMOGADES

  • Referenced in 2 articles [sw02761]
  • DCMOGADES: Distributed cooperation model of multi-objective genetic algorithm with distributed scheme To find design ... objective but also many objectives. These optimization problems are called multi-objective optimization problems. Usually ... goals of multi-objective optimization problems. Genetic Algorithm (GA) that simulates species’ heredity and evolution ... called Distributed Cooperation model of Multi-Objective Genetic Algorithm with Environmental Scheme (DCMOGADES). DCMOAGADES...
  • MOPED

  • Referenced in 9 articles [sw02388]
  • multi-objective optimization tool based on an estimation of distribution algorithm is proposed. The algorithm ... ranking method of non-dominated sorting genetic algorithm-II and the Parzen estimator to approximate...
  • CoreIIScheduler

  • Referenced in 1 article [sw11965]
  • systems and grid environments; hence, many different algorithms have been developed to solve this problem ... most important challenges in multi-core-based grids is scheduling. Specific computational intelligence methods ... these approaches is multi-objective genetic algorithm which can solve the problems in which multiple ... successful in solving most of the multi-objective problems. Experimental results over lots of different...
  • Optis

  • Referenced in 1 article [sw07796]
  • Optis is based on the multi-objective genetic algorithm, Non-dominated Sorted Genetic Algorithm...
  • Neurofitter

  • Referenced in 10 articles [sw09289]
  • traces and multi-objective functions. We then detail several popular search algorithms, including brute-force ... methods, simulated annealing, genetic algorithms, evolution strategies, differential evolution and particle-swarm optimization. Last...
  • POGA

  • Referenced in 1 article [sw09046]
  • Genetic Algorithm to Solve Effectively Highly Multi-Objective Problems: POGA. This paper presents ... MOGA, the Preference Ordering Genetic algorithm: POGA. It is largely inspired by NSGA...
  • UNDX

  • Referenced in 3 articles [sw03438]
  • genetic algorithms (GAs). We take advantage of GA’s capability of global optimization and multi ... objective optimization against two serious problems in conventional lens optimization techniques: (1) choosing a starting...
  • JCell

  • Referenced in 17 articles [sw13353]
  • framework for working mainly with cellular genetic algorithms (cGAs), but also it has implemented steady ... glad if you provide us your new algorithms (as well as operators, representations, etc.) implemented ... hierarchical populations, anysotropic selection, a novel multi-objective cGA, etc.). The use of JCell...
  • MOICA

  • Referenced in 1 article [sw08963]
  • novel multi-objective evolutionary algorithm (MOEA) is developed based on imperialist competitive algorithm ... newly introduced evolutionary algorithm (EA). Fast non-dominated sorting and the Sigma method are employed ... ranking the solutions. The algorithm is tested on six well-known test functions each ... elitism non-dominated sorting genetic algorithm (NSGA-II) and multi-objective particle swarm optimization (MOPSO...
  • DEMORS

  • Referenced in 8 articles [sw02773]
  • obtain a robust algorithm able to solve difficult constrained multi-objective optimization problems ... MOEA [the authors, in: Mike Cattolico (ed.): Genetic and Evolutionary Computation Conference, GECCO 2006, Proceedings...
  • BIANCA

  • Referenced in 12 articles [sw02081]
  • composite laminates is a multi-population genetic algorithm capable to deal with unconstrained and constrained ... information is extensively exploited during genetic operations. Moreover, we developed proper and original strategies ... methods. BIANCA can also treat constrained multi-objective problems based on the construction...
  • DOPGA

  • Referenced in 1 article [sw11089]
  • multi-objective evolutionary algorithms is proposed. The proposed DOmination Power of an individual Genetic Algorithm ... rank. With this new method, a multi-objective problem can be treated...
  • HPAM

  • Referenced in 3 articles [sw10931]
  • they are connected to build genetic networks. We propose a hybrid promoter analysis methodology (HPAM ... fuzzy models; and the multi-objective evolutionary algorithms capability to identify optimal instances...
  • RMOP

  • Referenced in 1 article [sw08546]
  • Algorithm (MOEA) coupled to Computational Fluid Dynamics (CFDs) software. For MOEA, Robust Multi-Objective Optimisation ... method is a Pareto-Game based Genetic Algorithm in RMOP (denoted as RMOGA). The second...
  • GATC

  • Referenced in 1 article [sw29603]
  • method is based on a genetic algorithm acting on a population of trees at each ... current state-of-the-art algorithms. Conclusion: The proposed algorithm is able to accurately reconstruct ... results also highlight the efficiency of multi-objective optimization algorithms for the gene tree reconstruction...
  • ADOL-C

  • Referenced in 209 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • ATLAS

  • Referenced in 192 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...
  • BARON

  • Referenced in 269 articles [sw00066]
  • BARON is a computational system for solving nonconvex...