Recent Advances in Computational Optimization
Results of the Workshop on Computational Optimization WCO 2023
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Beschreibung
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.
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.
Shows how to develop algorithms for real-world problems based on new metaheuristic methods Addresses important real-world problems Presents recent advances in computational optimization
Autor*in
Stefka Fidanova
Themen in »Recent Advances in Computational Optimization«
Algorithms for Problems Metaheuristic Methods Intelligent Systems WCO 2023 Evolutionary Computation