Results 201 to 210 of about 14,756 (239)

Metaheuristics for Portfolio Optimization

2017
Portfolio 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
openaire   +1 more source

Metaheuristics on GPUs

Journal of Parallel and Distributed Computing, 2013
El-Ghazali Talbi, Geir Hasle
openaire   +1 more source

Extending CLP with Metaheuristics

2003
Modern Constraint Logic Programming (CLP) systems have a number of approved features like their declarative programming language, the incorporation of sophisticated search space pruning and propagation algorithms as well as deterministic complete search algorithms.
openaire   +1 more source

Complex metaheuristics

Journal of Computational Science, 2016
Carlos Cotta, Robert Schaefer
openaire   +1 more source

Metaheuristics

This volume constitutes the refereed proceedings of Metaheuristics on 15th International Conference, MIC 2024, held in Lorient, France, during June 4–7, 2024.The 36 full papers presented together with 34 short papers were carefully reviewed and selected from 127 submissions. The conference focuses on artificial intelligence, combinatorial optimization,
Sevaux, Marc, Olteanu, Alexandru-Liviu, Pardo, Eduardo, Sifaleras, Angelo, Makboul, Salma   +4 more
openaire   +1 more source

Towards Metaheuristic Scheduling Techniques in Cloud and Fog: An Extensive Taxonomic Review

ACM Computing Surveys, 2023
Raj Mohan Singh, Lalit Kumar Awasthi, Geeta Sikka   +2 more
exaly  

A Unified-Metaheuristic Framework

1999
In recent years, there have been significant advances in the theory and application of metaheuristics to approximate solutions of complex optimization Problems. A metaheuristic is an iterative master process that guides and modifies the operations of subordinate heuristics to efficiently produce high quality solutions, [6] [8].
openaire   +1 more source

Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems

Heliyon, 2022
Stephen Joseph, David Oyewola, Emmanuel Gbenga Dada   +2 more
exaly  

Batch metaheuristic: a migration-free framework for metaheuristic algorithms

Evolutionary Intelligence, 2023
Deepika Kaushik, Mohammad Nadeem, S. Adil Mohsin   +2 more
openaire   +1 more source

Subtraction-Average-Based Optimizer: A New Swarm-Inspired Metaheuristic Algorithm for Solving Optimization Problems

Biomimetics, 2023
Pavel Trojovský, Dehghani Mohammad
exaly