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A new improved Newton metaheuristic algorithm for solving mathematical and structural optimization problems
As the objective function in complex structural optimization problems is implicit, in the present improved Newton method using the higher-order...
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A fuzzy reinforced Jaya algorithm for solving mathematical and structural optimization problems
Jaya is a metaheuristic algorithm that uses a pair of random internal parameters to adjust its exploration and exploitation search behaviors. Such a...
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Solving Crop** Pattern Optimization Problems Using Robust Positive Mathematical Programming
Agricultural activities occur in an environment that is constantly changing. In each crop** season, farmers must make management decisions based on...
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Hybrid teaching–learning-based optimization for solving engineering and mathematical problems
In this work, a new and effective algorithm called hybrid teaching–learning-based optimization (TLBO) and charged system search (CSS) algorithms...
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An Enhanced Beluga Whale Optimization Algorithm for Engineering Optimization Problems
This paper presents an enhanced beluga whale optimization algorithm (EBWOA) for engineering optimization problems. To enhance the performance and...
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A fuzzy mathematical model to solve multi-objective trapezoidal fuzzy fractional programming problems
Decision making problems with ambiguous data often arise in numerous practical fields which can be formulated as optimization models in fuzzy...
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Tree optimization algorithm (TOA): a novel metaheuristic approach for solving mathematical test functions and engineering problems
This study presents a new metaheuristic optimization algorithm named Tree Optimization Algorithm (TOA) for solving mathematical benchmark functions...
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Fitting nonlinear mathematical models to the cost function of the quadrafilar helix antenna optimization problem
Here, optimization of a quadrafilar helical antenna is presented to compare the performances of objective function pairs adapted from mathematical...
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An Improved Golden Jackal Optimization Algorithm Based on Multi-strategy Mixing for Solving Engineering Optimization Problems
Nowadays, optimization techniques are required in various engineering domains to find optimal solutions for complex problems. As a result, there is a...
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Mathematical optimization methods for inner-city construction site layout planning: a systematic review
To optimize productivity and safety on a construction site, it is necessary to ensure that work crew movements are safe, easy, quick, and short....
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Improved pelican optimization algorithm with chaotic interference factor and elementary mathematical function
Pelican optimization algorithm (POA) is a new heuristic algorithm that simulates the pelican’s natural behavior in the hunting process. In order to...
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Literature Research Optimizer: A New Human-Based Metaheuristic Algorithm for Optimization Problems
Traditional deterministic optimization algorithms are difficult to effectively solve many real-world nonlinear, complex, and high-dimensional...
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Mathematical Model-Based Optimization of Continuous Flow Photobioreactor Operating at Steady State Using MATLAB Optimization Function
Microalgae have received great attention recently due to its potential for sustainable CO 2 emission reduction and production of biofuel. These...
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Dragonfly Algorithm for Benchmark Mathematical Functions Optimization
In this paper, we study the dragonfly algorithm, an optimization method derived from nature and modeled after the swarming behavior of dragonflies....
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Diversity enhanced Equilibrium Optimization algorithm for solving unconstrained and constrained optimization problems
This research study proposes a novel mutation scheme mainly based on the manipulation equations of Tangent Search Optimization and mutualism phase of...
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Map** structural topology optimization problems to quantum annealing
Quantum computing (QC) is a rapidly growing technology in the field of computation that has garnered significant attention in recent years. This...
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Algorithmic Optimization Techniques for Operations Research Problems
This paper provides an overview of the key concepts and approaches discussed in the field of Algorithmic Optimization Techniques. Operation re-search...
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A review of intelligent optimization for group scheduling problems in cellular manufacturing
Given that group technology can reduce the changeover time of equipment, broaden the productivity, and enhance the flexibility of manufacturing,...
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Linear Constrained Optimization Method (LiCOM): A Novel Paradigm to Handle Engineering Optimization Problems
A newly defined “linear constrained optimization method” (LiCOM), as a novel meta-exploratory optimization technique, is presented here to carry out...
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Binary African vultures optimization algorithm for various optimization problems
As one novel meta-heuristic algorithm, African Vultures Optimization Algorithm (AVOA) has been proved to be efficient in solving continuous...
