Results 21 to 30 of about 51,530 (240)
Comparison of Recent Metaheuristic Algorithms for Shape Detection in Images
International Journal of Computational Intelligence Systems, 2020 Shape recognition in images represents one of the complex and hard-solving problems in computer vision due to its nonlinear, stochastic and incomplete nature.
Erik Cuevas +3 more
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Firefly Algorithm, Stochastic Test Functions and Design Optimisation [PDF]
, 2010 Modern optimisation algorithms are often metaheuristic, and they are very promising in solving NP-hard optimization problems. In this paper, we show how to use the recently developed Firefly Algorithm to solve nonlinear design problems.
Yang, Xin-She
core +1 more source
The Solar System Algorithm: A Novel Metaheuristic Method for Global Optimization
IEEE Access, 2021 A novel metaheuristic algorithm for global optimization, called the Solar System Algorithm (SSA), is presented. The proposed algorithm imitates the orbiting behavior of some objects found in the solar system: i.e., Sun, planets, moons, stars, and black ...
Farouq Zitouni +2 more
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Overview of Metaheuristic Algorithms
Polaris Global Journal of Scholarly Research and Trends, 2023 Metaheuristic algorithms are optimization algorithms that are used to address complicated issues that cannot be solved using standard approaches. These algorithms are inspired by natural processes such as genetics, swarm behavior, and evolution, and they are used to explore a broad search space to identify the global optimum of a problem.
Saman M. Almufti +5 more
openaire +1 more source
Iterated-greedy-based algorithms with beam search initialization for the permutation flowshop to minimize total tardiness [PDF]
, 2018 The permutation flow shop scheduling problem is one of the most studied operations research related problems. Literally, hundreds of exact and approximate algorithms have been proposed to optimise several objective functions. In this paper we address the
Fernández-Viagas Escudero, Víctor +2 more
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Two-Stage Eagle Strategy with Differential Evolution [PDF]
, 2012 Efficiency of an optimization process is largely determined by the search algorithm and its fundamental characteristics. In a given optimization, a single type of algorithm is used in most applications.
Deb, Suash, Yang, Xin-She
core +1 more source
Gold Rush Optimizer. A New Population-Based Metaheuristic Algorithm [PDF]
Operations Research and Decisions, 2023 Today's world is characterised by competitive environments, optimal resource utilization, and cost reduction, which has resulted in an increasing role for metaheuristic algorithms in solving complex modern problems. As a result, this paper introduces the
Kamran Zolfi
doaj
Parallel Hybrid Island Metaheuristic Algorithm
IEEE Access, 2022 This study introduces a novel Parallel Hybrid Island architecture which shows a parallel way to combine different meta-heuristic algorithms by using the island model as the base.
Jiawei Li, Tad Gonsalves
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On the use of biased-randomized algorithms for solving non-smooth optimization problems [PDF]
, 2020 Soft constraints are quite common in real-life applications. For example, in freight transportation, the fleet size can be enlarged by outsourcing part of the distribution service and some deliveries to customers can be postponed as well; in inventory ...
Ferrer Biosca, Albert +4 more
core +3 more sources
Mathematics, 2022 This paper proposes a new solution methodology based on a mixed-integer conic formulation to locate and size photovoltaic (PV) generation units in AC distribution networks with a radial structure.
Oscar Danilo Montoya +2 more
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