Výsledky vyhledávání - multi-objective extended genetics programming algorithm

An application of extended elitist non-dominated sorting Genetic Algorithm in multi-objective linear programming problem of tea industry with interval objectives

Autoři: Nabendu Sen Asoke Kumar Bhunia Amiya Biswas

Zdroj: Uncertain Supply Chain Management. 2:245-256

Témata: 8. Economic growth, 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Přístupová URL adresa: http://growingscience.com/beta/uscm/1677-an-application-of-extended-elitist-non-dominated-sorting-genetic-algorithm-in-multi-objective-linear-programming-problem-of-tea-industry-with-interval-objectives.html
http://growingscience.com/uscm/Vol2/uscm_2014_19.pdf

Extended fuzzy $ N $-Soft PROMETHEE method and its application in robot butler selection

Autoři: Muhammad Akram M. Atif Sultan José Carlos R. Alcantud a další

Zdroj: Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 1774-1800 (2023)

Témata: Intuitionistic Fuzzy Sets, Ambiguity, Artificial intelligence, outranked directed graph, score degree, Social Sciences, Business, Management and Accounting, Group Decision Making, 02 engineering and technology, Multi-Criteria Decision Making, Management Science and Operations Research, electre method, Decision Sciences, Multi-Objective Transportation Problem Optimization, Engineering, Selection (genetic algorithm), Fuzzy Logic, Management of Technology and Innovation, Fuzzy Goal Programming, Quality Function Deployment in Product Development and Management, QA1-939, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Multi-criteria Decision Making, analytic hierarchy process, Mathematical optimization, Statistics, Computer science, Programming language, Fuzzy logic, Control and Systems Engineering, Parametric statistics, Physical Sciences, TP248.13-248.65, Mathematics, Biotechnology

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36899508
https://doaj.org/article/c15b8ab8deb342db9d07322320213442

Continuous Cartesian Genetic Programming based representation for Multi-Objective Neural Architecture Search

Autoři: Garcia-Garcia, Cosijopii Morales-Reyes, Alicia Escalante, Hugo Jair

Témata: Computer Science - Neural and Evolutionary Computing, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2306.02648

Novel decision aid model for green supplier selection based on extended EDAS approach under pythagorean fuzzy Z-numbers

Autoři: Shahzaib Ashraf Shahzad Noor Abbasi Muhammad Naeem a další

Zdroj: Frontiers in Environmental Science, Vol 11 (2023)

Témata: Intuitionistic Fuzzy Sets, Artificial intelligence, pythagorean fuzzy z-number weighted arithmetic operator, Environmental Decision Making, Usability, Social Sciences, Geometry, Multi-Criteria Decision Making, Management Science and Operations Research, Management, Monitoring, Policy and Law, Operations research, decision making, Decision Sciences, Multi-Objective Transportation Problem Optimization, Supplier Selection, 12. Responsible consumption, Engineering, Selection (genetic algorithm), Estimation of distribution algorithm, Fuzzy Goal Programming, Machine learning, FOS: Mathematics, GE1-350, Pythagorean theorem, 2. Zero hunger, Human–computer interaction, Mathematical optimization, EDAS, Land-Use Suitability Assessment Using GIS, EDAS method, Computer science, Management science, pythagorean fuzzy z-number weighted geometric operator, Environmental sciences, Fuzzy logic, Fuzzy Sets, Control and Systems Engineering, pythagorean fuzzy z-number, Physical Sciences, Environmental Science, Mathematics

Přístupová URL adresa: https://doaj.org/article/00d8010a748e41fca9cabd3411fccac2

An application of extended NSGA-II in interval valued multi-objective scheduling problem of crews.

Autoři: Banerjee, Tanmoy Biswas, Amiya Shaikh, Ali Akbar a další

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Feb2022, Vol. 26 Issue 3, p1261-1278. 18p.

Témata: *PUBLIC transit, *GENETIC algorithms, *SCHEDULING, *PRIVATE sector, *TRANSPORT vehicles

FIREWORKS ALGORITHM FOR UNCONSTRAINED FUNCTION OPTIMIZATION PROBLEMS

Autoři: Evans Baidoo

Zdroj: Applied Computer Science, Vol 13, Iss 1, Pp 61-74 (2017)

Témata: Natural computing, Swarm intelligence, Fireworks algorithm, Function optimization, Information technology, 02 engineering and technology, Artificial Intelligence, a kind of parallel diffuse optimization algorithm is based on the explosive phenomenon of fireworks. The algorithm presented promising results when compared to other population or iterative based meta-heuristic algorithm after it was experimented on five standard benchmark problems. The software application was implemented in Java with interactive interface which allow for easy modification and extended experimentation. Additionally, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Firefly Algorithm, Swarm Intelligence Optimization Algorithms, Optimization problem, this paper validates the effect of runtime on the algorithm performance, Global Optimization, Geography, Multi-Objective Optimization, Optimization Applications, Mathematical optimization, Mathematical programming, QA75.5-76.95, T58.5-58.64, Computer science, Programming language, Algorithm, Computational Theory and Mathematics, Particle Swarm Optimization, Electronic computers. Computer science, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Benchmark (surveying), Multiobjective Optimization in Evolutionary Algorithms, Java, Software, Mathematics, Geodesy

Přístupová URL adresa: https://doaj.org/article/7e11e6f616cb4859957fdc1045cadaf6

A study of gene expression programming algorithm for dynamically adjusting the parameters of genetic operators.

Autoři: Liu, Kejia Teng, Yiping Liu, Fang

Zdroj: PLoS ONE; 6/2/2025, Vol. 20 Issue 6, p1-21, 21p

Témata: EVOLUTIONARY algorithms, ARTIFICIAL intelligence, GENE expression, PROBLEM solving, ALGORITHMS

New Findings on Indicator-based Multi-Objective Evolutionary Algorithms: A Brief Summary

Autoři: Jesús Guillermo Falcón-Cardona

Zdroj: CLEI Electronic Journal, Vol 25, Iss 1 (2022)

Témata: Economics, Quality indicators, Set (abstract data type), Epistemology, 02 engineering and technology, 7. Clean energy, Selection (genetic algorithm), Artificial Intelligence, Evolutionary algorithm, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Swarm Intelligence Optimization Algorithms, Feature Selection, Economic growth, Multi-Objective Optimization, Optimization Applications, Mathematical optimization, Indicator-based multi-objective evolutionary algorihtms, QA75.5-76.95, Computer science, FOS: Philosophy, ethics and religion, Programming language, Multi-objective optimization, Philosophy, Computational Theory and Mathematics, Electronic computers. Computer science, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Convergence (economics), Quality (philosophy), Selection mechanisms, Multiobjective Optimization in Evolutionary Algorithms, Pareto principle, Mathematics

Přístupová URL adresa: https://doaj.org/article/1a9701bfec49413faca8162577d35f0f

Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding

Autoři: Antuchevi?ien?, Jurgita Kar, Samarjit Zavadskas, Edmundas Kazimieras

Témata: engineering, multiple criteria decision aid, healthcare facility, ranking, genetic algorithm, Geomean, choice, energy efficiency, sustainable development, TOPSIS-GM, T58.5-58.64, Rough Hamy aggregator, sustainable traffic, hospital evaluation, multi-objective decision-making (MODM), hybrid expert system, verbal analysis, Multiple Attribute Decision Making (MADM), apple, discrete time/cost trade-off, water resource management, building investment project, clay blocks, hybrid mathematical model, straw bales, berth-quay crane joint scheduling, hybrid, policy measures, fuzzy, WASPAS, Rough WASPAS, bus pass, particle swarm optimization algorithm, sustainable energy evaluation, comfort of use of buildings, QA75.5-76.95, WSM, renewable energy, optimization study, location-allocation problem, expert, hierarchical SWARA, multiple objective optimization, innovation in transport, conceptual framework, probabilistic linguistic term sets (PLTSs), rehydration, ecological building, artificial neural network, multiple-attribute decision-making (MADM), AHP, assessment, Total Interpretive Structural Modeling (TISM), emission of pollutants, SWARA, surface transport, project, sustainable solution, roundabout, group decision making, multiple-criteria decision-making, drying, crank–slider, hesitant fuzzy set, project scheduling, thema EDItEUR::U Computing and Information Technology::UY Computer science, MCDM, cost calculation, compacted clay, risk, public transport, historic buildings, critical information infrastructures, dynamic analysis, sustainability, bi-level programming, multiple criteria decision making (MCDM), sustainable transport policy, optimization, extended Tomada de Decisão Interativa Multicritério (TODIM), multi-objective evolutionary algorithms, management, vibration suppression, construction, ARAS-G, sustainability hierarchy, cleaner production (CP), bi-objective optimization, MULTIMOORA, heuristics, sustainable energy developments, sustainable developments, single-cylinder engine, bat algorithm, contractor, hybrid multi-criteria decision making (MCDM), particle swarm optimization (PSO), organizations, sustainable transport, travel times, gold mines, grey, technology selection problem, Rough BWM, port scheduling, linguistic hesitant fuzzy set and Standard variance, multi-purpose system

Popis souboru: application/octet-stream

Přístupová URL adresa: https://directory.doabooks.org/handle/20.500.12854/54047
https://mdpi.com/books/pdfview/book/1557

A new multi-objective optimization ratio analysis plus full multiplication form method for the selection of an appropriate mining method based on 2-tuple spherical fuzzy linguistic sets

Autoři: Ayesha Khan Muhammad Akram Uzma Ahmad a další

Zdroj: Mathematical Biosciences and Engineering, Vol 20, Iss 1, Pp 456-488 (2023)

Témata: Rough Sets Theory and Applications, Intuitionistic Fuzzy Sets, Artificial intelligence, Decision Making, Multiplication (music), judgement matrix, linguistic terms, Social Sciences, 02 engineering and technology, Multi-Criteria Decision Making, Management Science and Operations Research, Decision Sciences, Multi-Objective Transportation Problem Optimization, Intuitionistic Fuzzy, Engineering, Selection (genetic algorithm), Fuzzy Logic, Hamming distance, Fuzzy Goal Programming, QA1-939, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Data mining, MCDM Methods, Multi-Objective Optimization, Mathematical optimization, Uncertainty, Linguistics, Measure (data warehouse), Discrete mathematics, multimoora method, Computer science, Process (computing), mining method selection, Fuzzy logic, Algorithm, Operating system, Computational Theory and Mathematics, Control and Systems Engineering, Vagueness, Combinatorics, Physical Sciences, Computer Science, Fuzzy set, score function, Tuple, TP248.13-248.65, Mathematics, Biotechnology

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36650774
https://doaj.org/article/e3952bcb731d4b7eaafefa9e2dd7e9be

Entire-process scheduling optimization strategy for railway emergency logistics based on two-stage multi-objective programming

Autoři: Jiashan Yuan Yong Zhang Cheng Cheng a další

Zdroj: International Journal of Industrial Engineering Computations. 16:557-582

Multi-objective fuzzy modeling of project scheduling with limitations of multi-skilled resources able to change skill levels and interrupt activities

Autoři: Mojtaba Salehi Efat Jabarpoor

Zdroj: International Journal of Industrial Engineering and Production Research, Vol 32, Iss 3, Pp 1-16 (2021)

Témata: project scheduling, multi skilled resources, goal programming, multi-objective genetic algorithm, multi-objective cuckoo search, Technology

Popis souboru: electronic resource

Relation: http://ijiepr.iust.ac.ir/article-1-958-en.html; https://doaj.org/toc/2008-4889; https://doaj.org/toc/2345-363X

Přístupová URL adresa: https://doaj.org/article/9b1ac326e6c448c59e7748fde44da9d1

Multi-Objective Optimization for Mixed-Integer Programming Problems through Extending Hybrid Genetic Algorithm with Niche Method

Autoři: Yoshiaki SHIMIZU

Zdroj: Transactions of the Society of Instrument and Control Engineers. 1999, 35(7):951

Multi-objective optimization of manufacturing cell design.

Autoři: Dimopoulos, C.

Zdroj: International Journal of Production Research; 11/15/2006, Vol. 44 Issue 22, p4855-4875, 21p

Témata: MANUFACTURED products, MANUFACTURING cells, BUSINESS enterprises, MANUFACTURING processes, EVOLUTIONARY computation, METHODOLOGY, ALGORITHMS, GENETIC algorithms, GENETICS, GENETIC programming, MATHEMATICAL programming, DECISION making, MATHEMATICAL optimization, LITERATURE

New improved hybrid genetic algorithm for optimizing facility layout design of reconfigurable manufacturing system.

Autoři: Wei X Sun J Jiao H

Zdroj: Scientific reports [Sci Rep] 2025 Jul 01; Vol. 15 (1), pp. 21416. Date of Electronic Publication: 2025 Jul 01.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Evolution of Labor Relations in the Development of Human Resources Based on Improved Genetic Algorithm.

Zdroj: Journal of Circuits, Systems & Computers. Oct2022, Vol. 31 Issue 15, p1-12. 12p.

Témata: *HUMAN resources departments, *INTERPERSONAL relations, *MATHEMATICAL programming, *CONSTRUCTION projects, *MATHEMATICAL models, *INTEGER programming, *GENETIC algorithms

A novel decision model with Einstein aggregation approach for garbage disposal plant site selection under $ q $-rung orthopair hesitant fuzzy rough information

Autoři: Attaullah Attaullah Asghar Khan Noor Rehman a další

Zdroj: AIMS Mathematics, Vol 8, Iss 10, Pp 22830-22874 (2023)

Témata: Artificial intelligence, Aggregate Production Planning, Environmental Decision Making, Population, Social Sciences, Solid Waste Management, Group Decision Making, Multi-Criteria Decision Making, Management Science and Operations Research, Garbage, Operations research, the $ q $-rung orthopair hesitant fuzzy rough sets, einstein aggregation operators, decision making, Industrial and Manufacturing Engineering, Decision Sciences, Multi-Objective Transportation Problem Optimization, 12. Responsible consumption, Engineering, Selection (genetic algorithm), sensitivity analysis, Sociology, Machine learning, 11. Sustainability, QA1-939, FOS: Mathematics, Data mining, MCDM Methods, Demography, GIS-based Decision Analysis, Mathematical optimization, Ranking (information retrieval), 15. Life on land, Computer science, 6. Clean water, garbage disposal site selection, FOS: Sociology, Programming language, Fuzzy logic, Control and Systems Engineering, 13. Climate action, Physical Sciences, Environmental Science, Mathematics

Přístupová URL adresa: https://doaj.org/article/d7274a1dfaaf480dac5fdeed109d09b1

Shape-constrained multi-objective genetic programming for symbolic regression.

Autoři: Haider, C. de Franca, F.O. Burlacu, B. a další

Zdroj: Applied Soft Computing. Jan2023, Vol. 132, pN.PAG-N.PAG. 1p.

Témata: Genetic programming, Electronic textbooks, Evolutionary algorithms, Genetic algorithms, Constraint algorithms, Algorithms, Prior learning

The development of a sub-population genetic algorithm II (SPGA II) for multi-objective combinatorial problems

Autoři: Chang, Pei-Chann Chen, Shih-Hsin

Zdroj: Applied Soft Computing. Jan2009, Vol. 9 Issue 1, p173-181. 9p.

Témata: Algorithms, Genetic programming, Computer programming, Genetic algorithms

Continuous Time Scheduling of Gasoline Production and Distribution with a Remarkable Formulation Size Reduction using Extended Graphical Genetic Algorithm.

Autoři: Bayu, Feleke Panda, Debashish Ramteke, Manojkumar

Zdroj: Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A. Dec2020, Vol. 164, p385-399. 15p.

Témata: *SCHEDULING, *PRODUCTION scheduling, *GENETIC algorithms, *GASOLINE blending, *COST control, *BENCHMARK problems (Computer science)