Nature-Inspired Computing and Optimization - Modeling and Optimization in Science and Technologies
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Published By Springer International Publishing

9783319509198, 9783319509204

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Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence

Nature-Inspired Computing and Optimization - Modeling and Optimization in Science and Technologies ◽

10.1007/978-3-319-50920-4_4 ◽

2017 ◽

pp. 79-94 ◽

Cited By ~ 3

Author(s):

Iztok Fister ◽

Iztok Fister

Keyword(s):

Swarm Intelligence ◽

Sports Activities

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Chance-Constrained Fuzzy Goal Programming with Penalty Functions for Academic Resource Planning in University Management Using Genetic Algorithm

Nature-Inspired Computing and Optimization - Modeling and Optimization in Science and Technologies ◽

10.1007/978-3-319-50920-4_18 ◽

2017 ◽

pp. 449-474

Author(s):

Bijay Baran Pal ◽

R. Sophia Porchelvi ◽

Animesh Biswas

Keyword(s):

Genetic Algorithm ◽

Goal Programming ◽

Resource Planning ◽

Penalty Functions ◽

Fuzzy Goal Programming ◽

University Management ◽

Fuzzy Goal ◽

Academic Resource

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Morphological Filters: An Inspiration from Natural Geometrical Erosion and Dilation

Nature-Inspired Computing and Optimization - Modeling and Optimization in Science and Technologies ◽

10.1007/978-3-319-50920-4_14 ◽

2017 ◽

pp. 349-379 ◽

Cited By ~ 9

Author(s):

Mahdi Khosravy ◽

Neeraj Gupta ◽

Ninoslav Marina ◽

Ishwar K. Sethi ◽

Mohammad Reza Asharif

Keyword(s):

Morphological Filters

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Hybridization of the Flower Pollination Algorithm—A Case Study in the Problem of Generating Healthy Nutritional Meals for Older Adults

Nature-Inspired Computing and Optimization - Modeling and Optimization in Science and Technologies ◽

10.1007/978-3-319-50920-4_7 ◽

2017 ◽

pp. 151-183 ◽

Cited By ~ 8

Author(s):

Cristina Bianca Pop ◽

Viorica Rozina Chifu ◽

Ioan Salomie ◽

Dalma Szonja Racz ◽

Razvan Mircea Bonta

Keyword(s):

Older Adults ◽

Flower Pollination Algorithm ◽

Flower Pollination

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CBO-Based TDR Approach for Wiring Network Diagnosis

Nature-Inspired Computing and Optimization - Modeling and Optimization in Science and Technologies ◽

10.1007/978-3-319-50920-4_13 ◽

2017 ◽

pp. 329-348

Author(s):

Hamza Boudjefdjouf ◽

Francesco de Paulis ◽

Houssem Bouchekara ◽

Antonio Orlandi ◽

Mostafa K. Smail

Keyword(s):

Network Diagnosis

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Application of Learning Classifier Systems to Gene Expression Analysis in Synthetic Biology

Nature-Inspired Computing and Optimization - Modeling and Optimization in Science and Technologies ◽

10.1007/978-3-319-50920-4_10 ◽

2017 ◽

pp. 247-275

Author(s):

Changhee Han ◽

Kenji Tsuge ◽

Hitoshi Iba

Keyword(s):

Gene Expression ◽

Synthetic Biology ◽

Expression Analysis ◽

Gene Expression Analysis ◽

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier

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The Nature of Nature: Why Nature-Inspired Algorithms Work

Nature-Inspired Computing and Optimization - Modeling and Optimization in Science and Technologies ◽

10.1007/978-3-319-50920-4_1 ◽

2017 ◽

pp. 1-27

Author(s):

David Green ◽

Aldeida Aleti ◽

Julian Garcia

Keyword(s):

Nature Inspired Algorithms

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Multi-objective Ant Colony Optimisation in Wireless Sensor Networks

Nature-Inspired Computing and Optimization - Modeling and Optimization in Science and Technologies ◽

10.1007/978-3-319-50920-4_3 ◽

2017 ◽

pp. 51-78 ◽

Cited By ~ 1

Author(s):

Ansgar Kellner

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Ant Colony ◽

Wireless Sensor ◽

Ant Colony Optimisation ◽

Multi Objective

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Multi-Agent Optimization of Resource-Constrained Project Scheduling Problem Using Nature-Inspired Computing

Nature-Inspired Computing and Optimization - Modeling and Optimization in Science and Technologies ◽

10.1007/978-3-319-50920-4_9 ◽

2017 ◽

pp. 217-246

Author(s):

Pragyan Nanda ◽

Sritam Patnaik ◽

Srikanta Patnaik

Keyword(s):

Project Scheduling ◽

Scheduling Problem ◽

Resource Constrained ◽

Resource Constrained Project Scheduling ◽

Nature Inspired Computing ◽

Multi Agent ◽

Project Scheduling Problem

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Multimodal Function Optimization Using an Improved Bat Algorithm in Noise-Free and Noisy Environments

Nature-Inspired Computing and Optimization - Modeling and Optimization in Science and Technologies ◽

10.1007/978-3-319-50920-4_2 ◽

2017 ◽

pp. 29-49

Author(s):

Momin Jamil ◽

Hans-Jürgen Zepernick ◽

Xin-She Yang

Keyword(s):

Bat Algorithm ◽

Function Optimization ◽

Noisy Environments ◽

Multimodal Function Optimization ◽

Multimodal Function

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Nature-Inspired Computing and Optimization - Modeling and Optimization in Science and TechnologiesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence

Chance-Constrained Fuzzy Goal Programming with Penalty Functions for Academic Resource Planning in University Management Using Genetic Algorithm

Morphological Filters: An Inspiration from Natural Geometrical Erosion and Dilation

Hybridization of the Flower Pollination Algorithm—A Case Study in the Problem of Generating Healthy Nutritional Meals for Older Adults

CBO-Based TDR Approach for Wiring Network Diagnosis

Application of Learning Classifier Systems to Gene Expression Analysis in Synthetic Biology

The Nature of Nature: Why Nature-Inspired Algorithms Work

Multi-objective Ant Colony Optimisation in Wireless Sensor Networks

Multi-Agent Optimization of Resource-Constrained Project Scheduling Problem Using Nature-Inspired Computing

Multimodal Function Optimization Using an Improved Bat Algorithm in Noise-Free and Noisy Environments

Nature-Inspired Computing and Optimization - Modeling and Optimization in Science and Technologies
Latest Publications