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Recent advances in computational optimization = results of the Workshop on Computational Optimization WCO 2023 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recent advances in computational optimization/ edited by Stefka Fidanova.
Reminder of title:	results of the Workshop on Computational Optimization WCO 2023 /
remainder title:	WCO 2023
other author:	Fidanova, Stefka.
corporate name:	Workshop on Computational Optimization
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xii, 191 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Modeling and analysis of longitudinal labor market social networks -- Various Hybridizations of Ant Colony Optimization for Workforce Planning -- Complete Pareto Front of the Minimal Length Maximal Capacity Shortest Path Problem -- A proportion of visibility polygon's surface to the entire polygon's surface A lower bound of the proportion derived for polygons of any shape and orthogonal polygons -- Confidence-Interval Elliptic Intuitionistic Fuzzy Sets to Franchisor Selection -- A Software Solution for Package Delivery Optimization in Courier Business Using an Elliptic Intuitionistic Fuzzy Knapsack Problem -- An Optimization Approach for Sensitivity Analysis of UNI-DEM Framework -- A brief note on optimizing resource allocation: How many parallel working units do we need to maximize the probability that at least one of them will complete the task? -- Scalability and Sensitivity Studies of a Large Air Pollution Model by Using the EuroHPC Supercomputer "Discoverer" in Bulgaria.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-74758-8
ISBN:	9783031747588

Recent advances in computational optimization = results of the Workshop on Computational Optimization WCO 2023 /
Recent advances in computational optimizationresults of the Workshop on Computational Optimization WCO 2023 /[electronic resource] :WCO 2023edited by Stefka Fidanova. - Cham :Springer Nature Switzerland :2025. - xii, 191 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v. 4851860-9503 ;. - Studies in computational intelligence ;v. 485..

Modeling and analysis of longitudinal labor market social networks -- Various Hybridizations of Ant Colony Optimization for Workforce Planning -- Complete Pareto Front of the Minimal Length Maximal Capacity Shortest Path Problem -- A proportion of visibility polygon's surface to the entire polygon's surface A lower bound of the proportion derived for polygons of any shape and orthogonal polygons -- Confidence-Interval Elliptic Intuitionistic Fuzzy Sets to Franchisor Selection -- A Software Solution for Package Delivery Optimization in Courier Business Using an Elliptic Intuitionistic Fuzzy Knapsack Problem -- An Optimization Approach for Sensitivity Analysis of UNI-DEM Framework -- A brief note on optimizing resource allocation: How many parallel working units do we need to maximize the probability that at least one of them will complete the task? -- Scalability and Sensitivity Studies of a Large Air Pollution Model by Using the EuroHPC Supercomputer "Discoverer" in Bulgaria.

This book presents recent advances in computational optimization. The book includes important real problems like modelling of physical processes, workforce planning problem, transportation problems, machine scheduling, air pollution modelling, optimization of fast-food restaurant chain, solving engineering, and financial problems. Our everyday life is unthinkable without optimization. We try to minimize our effort and maximize the achieved profit. Many real-world and industrial problems arising in engineering, economics, medicine, and other domains can be formulated as optimization tasks. The book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2023. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method, and others. This research demonstrates how some real-world problems arising in engineering, economics, and other domains can be formulated as optimization problems.

ISBN: 9783031747588

Standard No.: 10.1007/978-3-031-74758-8doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Recent advances in computational optimization = results of the Workshop on Computational Optimization WCO 2023 /
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505 0 $a Modeling and analysis of longitudinal labor market social networks -- Various Hybridizations of Ant Colony Optimization for Workforce Planning -- Complete Pareto Front of the Minimal Length Maximal Capacity Shortest Path Problem -- A proportion of visibility polygon's surface to the entire polygon's surface A lower bound of the proportion derived for polygons of any shape and orthogonal polygons -- Confidence-Interval Elliptic Intuitionistic Fuzzy Sets to Franchisor Selection -- A Software Solution for Package Delivery Optimization in Courier Business Using an Elliptic Intuitionistic Fuzzy Knapsack Problem -- An Optimization Approach for Sensitivity Analysis of UNI-DEM Framework -- A brief note on optimizing resource allocation: How many parallel working units do we need to maximize the probability that at least one of them will complete the task? -- Scalability and Sensitivity Studies of a Large Air Pollution Model by Using the EuroHPC Supercomputer "Discoverer" in Bulgaria.
520 $a This book presents recent advances in computational optimization. The book includes important real problems like modelling of physical processes, workforce planning problem, transportation problems, machine scheduling, air pollution modelling, optimization of fast-food restaurant chain, solving engineering, and financial problems. Our everyday life is unthinkable without optimization. We try to minimize our effort and maximize the achieved profit. Many real-world and industrial problems arising in engineering, economics, medicine, and other domains can be formulated as optimization tasks. The book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2023. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method, and others. This research demonstrates how some real-world problems arising in engineering, economics, and other domains can be formulated as optimization problems.
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