Results 151 to 160 of about 46,149 (202)
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Metaheuristics in Combinatorial Optimization
Annals of Operations Research, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Michel Gendreau, Jean-Yves Potvin
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A survey on optimization metaheuristics
Information Sciences, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Boussaid, Ilhem +2 more
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Metaheuristics for Portfolio Optimization
2017Portfolio optimization refers to allocating an amount of investors’ wealth to different assets in order to satisfy the investors’ preferences for return and risk. We address the portfolio optimization problem with real-world constraints, where traditional optimization methods fail to efficiently find an optimal or near-optional solution.
Sarah El-Bizri, Nashat Mansour
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Metaheuristics for Combinatorial Optimization
2021It is well known, and it is easy to prove that any problem can be formulated and tackled as an optimization problem since solving it means basically making deci- sions. Every day each of us continually makes decisions during own daily activities, from simple and automatic ones (e.g., choose a food or dress to wear), to more challenging and complex ones
Greco S +3 more
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Metaheuristics for Dynamic Optimization
2013This book is an updated effort in summarizing the trending topics and new hot research lines in solving dynamic problems using metaheuristics. An analysis of the present state in solving complex problems quickly draws a clear picture: problems that change in time, having noise and uncertainties in their definition are becoming very important. The tools
Alba, Enrique +2 more
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Ameliorating Metaheuristic in Optimization Domains
2009 Third UKSim European Symposium on Computer Modeling and Simulation, 2009Metaheuristic algorithms, such as genetic algorithms and simulated annealing, are search techniques that are inspired by nature. They aim to avoid a problem encountered by traditional search techniques such as hill climbing - the danger of getting stuck at a local optimum.
Sushila Madan, Mamta Madan
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A pedagogical platform for metaheuristic optimization
2019 5th Experiment International Conference (exp.at'19), 2019Regardless the engineering scientific areas wherein one develops research and training, it is often necessary not just to find a solution for a specific problem, but to find its optimal solution according to a set of predefined objectives and constraints.
A. F. Mota, M. A. R. Loja
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Metaheuristic Optimization Algorithms
2021In this introductory chapter, specific state-of-the-art metaheuristic optimization algorithms are outlined. The presented algorithms belong to the broad trajectory-based and population-based categories, and they are particularly selected as they constitute the building blocks of algorithm portfolios presented in the forthcoming chapters.
Jitendra Kumar +3 more
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Optimization Metaheuristic for Software Testing
2013This paper presents an evolutionary method for testing web applications. Although state-based testing has been reported, few papers have addressed modern web applications. In our work, we model web applications by associating features or web pages with states; state transition diagrams are based on events representing state transitions.
Nashat Mansour +2 more
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Metaheuristics for bilevel optimization: A comprehensive review
Computers & Operations ResearchzbMATH Open Web Interface contents unavailable due to conflicting licenses.
José-Fernando Camacho-Vallejo +2 more
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