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Heuristic methods for evolutionary computation techniques

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-58484-6_245openalex-snapshot
Lamarckian evolution, the Baldwin effect and function optimization
inferredcites →https://doi.org/10.1007/3-540-58484-6_249openalex-snapshot
Co-evolutionary constraint satisfaction
inferredcites →https://doi.org/10.1007/3-540-58484-6_252openalex-snapshot
Genetic algorithms with multi-parent recombination
inferredcites →https://doi.org/10.1007/978-1-4613-1361-8_25openalex-snapshot
Critical Event Tabu Search for Multidimensional Knapsack Problems
inferredcites →https://doi.org/10.1007/978-3-662-02830-8openalex-snapshot
Genetic Algorithms + Data Structures = Evolution Programs
inferredcites →https://doi.org/10.1007/978-3-662-03315-9_15openalex-snapshot
A Hierarchy of Evolution Programs
inferredcites →https://doi.org/10.1007/978-3-662-07418-3openalex-snapshot
Genetic Algorithms + Data Structures = Evolution Programs
inferredcites →https://doi.org/10.1007/bf00175357openalex-snapshot
Genetic algorithms and scatter search: unsuspected potentials
inferredcites →https://doi.org/10.1007/bf02022563openalex-snapshot
Large-scale controlled rounding using tabu search with strategic oscillation
inferredcites →https://doi.org/10.1016/0166-218x(82)90059-2openalex-snapshot
Numerical Optimization of Computer Models
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Proceedings of the third annual conference on evolutionary programming
inferredcites →https://doi.org/10.1016/0377-2217(86)90042-1openalex-snapshot
Heuristics and reduction methods for multiple constraints 0–1 linear programming problems
inferredcites →https://doi.org/10.1016/0378-4754(82)90117-3openalex-snapshot
Numerical optimization of computer models
inferredcites →https://doi.org/10.1016/b978-0-08-050684-5.50021-5openalex-snapshot
Genetic Operators for Sequencing Problems
inferredcites →https://doi.org/10.1016/b978-1-898563-21-1.50008-0openalex-snapshot
Mathematical Programming
inferredcites →https://doi.org/10.1109/icec.1994.349921openalex-snapshot
Representing trees in genetic algorithms
inferredcites →https://doi.org/10.1109/icec.1994.349935openalex-snapshot
Two solutions to the general timetable problem using evolutionary algorithms.
inferredcites →https://doi.org/10.1109/icec.1994.349995openalex-snapshot
On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GA's
inferredcites →https://doi.org/10.1109/icec.1995.487460openalex-snapshot
Genocop III: a co-evolutionary algorithm for numerical optimization problems with nonlinear constraints
inferredcites →https://doi.org/10.1111/j.1540-5915.1977.tb01074.xopenalex-snapshot
HEURISTICS FOR INTEGER PROGRAMMING USING SURROGATE CONSTRAINTS
inferredcites →https://doi.org/10.1142/9789812798190_0017openalex-snapshot
Tabu Search: Applications and Prospects
inferredcites →https://doi.org/10.1142/9789814343138_0006openalex-snapshot
CONSTRAINED GENETIC OPTIMIZATION VIA DYNAMIC REWARD-PENALTY BALANCING AND ITS USE IN PATTERN RECOGNITION
inferredcites →https://doi.org/10.1162/evco.1993.1.1.51openalex-snapshot
A Hierarchy of Evolution Programs: An Experimental Study
inferredcites →https://doi.org/10.1162/evco.1993.1.1.77openalex-snapshot
Evolving Behaviors in the Iterated Prisoner's Dilemma
inferredcites →https://doi.org/10.1177/003754979406200405openalex-snapshot
Constrained Optimization Via Genetic Algorithms
inferredcites →https://doi.org/10.1287/ijoc.3.4.307openalex-snapshot
A Nonstandard Genetic Algorithm for the Nonlinear Transportation Problem
inferredcites →https://doi.org/10.1287/opre.45.1.92openalex-snapshot
A Genetic Algorithm for the Multiple-Choice Integer Program
inferredcites →https://doi.org/10.5555/201081.201134openalex-snapshot
Techniques to aid global search in engineering design
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems
inferredcites →https://doi.org/10.7551/mitpress/2887.003.0029openalex-snapshot
Using Cultural Algorithms for Constraint Handling in GENOCOP

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A competitive genetic algorithm for resource-constrained project scheduling
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Distributed Data-intensive Web Service Composition
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Distributed Data-intensive Web Service Composition
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Evolutionary Algorithm for Economic lot and Delivery Scheduling Problem
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Approach to designing reverse logistics network for product recovery
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Stochastic Optimization of Oil Well Placement and Their Type and Trajectory for Maximizing the Net Present Value of Entire Project
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The Applications of Soft Computing Methods for Seepage Modeling: A Review
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Gestão da Produção em Foco – Volume 51
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Aplicações de algoritmos bioinspirados para estimação de rotas em um arranjo circular de antenas adaptativas
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Tecnologia interativa para a captação de resíduos recicláveis
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Os estereótipos do trabalhador idoso nos últimos anos de sua carreira profissional
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Uma abordagem sobre a classificação de riscos ocupacionais como fator essencial para elaboração de um Programa de Gerenciamento de Riscos-PGR
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Tendência empreendedora dos acadêmicos do curso de engenharia de produção de uma universidade pública
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Empreendedorismo: Análise dos micro e pequenos negócios que fecharam suas portas nos últimos anos no Vale do Paraíba e cidades adjacentes
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Alinhamento estratégico na seleção de projetos de TI com Seis Sigma
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Um estudo da aplicação de metodologias ágeis em sistemas judiciários
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Metodologia 8D: Estudo e aplicação em uma fábrica de lanternas para veículos pesados
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Modelagem e otimização do sistema de extrusão de impressoras 3D para construção civil
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Aplicação de um modelo de apoio à decisão multicritério para seleção de uma fábrica de forros PVC para representação comercial
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Proposta de solução de emergência em Petroquímica: Um estudo de caso
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Tourism Site Location Based on a Genetic Algorithm
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Solving the Cauchy Problem Related to the Helmholtz Equation through a Genetic Algorithm
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Improved Genetic Algorithm for the Bandwidth Maximization in TDMA-based Mobile Ad Hoc Networks
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