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local optimization » global optimization (Expand Search), level optimization (Expand Search), whale optimization (Expand Search)
codon optimization » dog optimization (Expand Search), motor optimization (Expand Search), igdt optimization (Expand Search)
local optimization » global optimization (Expand Search), level optimization (Expand Search), whale optimization (Expand Search)
codon optimization » dog optimization (Expand Search), motor optimization (Expand Search), igdt optimization (Expand Search)
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Application of Heuristic Algorithms for Multiuser Detection
Published 0000“…In this paper we propose application of heuristic algorithms in multiuser detection (MUD). The proposed algorithm combines a tabu search heuristic algorithm with a local search heuristic algorithm. …”
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A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM
Published 2020“…In this paper we discuss the solution of the clustering problem usually solved by the K-means algorithm. The problem is known to have local minimum solutions which are usually what the K-means algorithm obtains. …”
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Capturing outline of fonts using genetic algorithm and splines
Published 2001“…We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. …”
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Computational Experience On Four Algorithms For The Hard Clustering Problem
Published 2020“…The problem is a difficult optimization problem due to the fact that: it posseses many local minima. …”
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Simultaneous stabilization of multimachine power systems viagenetic algorithms
Published 1999“…The problem of selecting the parameters of power system stabilizers which simultaneously stabilize this set of plants is converted to a simple optimization problem which is solved by a genetic algorithm with an eigenvalue-based objective function. …”
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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
Published 2024“…Several metaheuristics, such as the Genghis Khan Shark Optimizer Algorithm (GKSO), can assist in optimizing the FS issue. …”
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A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
Published 2024“…The ES algorithm begins with a random initial solution and uses an insertion mutation to optimize the solution. …”
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Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodolog...
Published 2023“…This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under extreme current and future climates using a developed methodology based on global and local sensitivity analysis and Multi-Objective Optimization Genetic Algorithm. …”
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PERF solutions for distributed query optimization. (c1999)
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Optimal design of power system stabilizers using evolutionary programming
Published 2002“…The optimal design of power system stabilizers (PSSs) using evolutionary programming (EP) optimization technique is presented in this paper. …”
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Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm
Published 2023“…The results show an optimum resource allocation with an information-based cost function that is optimized by an Auction Algorithm.…”
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A hybrid Harris Hawks optimizer for economic load dispatch problems
Published 2022“…The HHO can navigate several potential search space regions, while adaptive-hill climbing is used to deeply search for the local optimal solution in each potential region. …”
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Optimization of Battery Electric Bus Charging under Varying Operating Conditions
Published 2020“…Besides, BEB energy costs are subject to high fluctuations depending on the electricity generation mix and local electricity tariffs. This paper proposes an optimization algorithm based on Dynamic Programming that minimizes the total BEB energy costs and battery replacement costs by optimally controlling the BEB daily charging power throughout the year, considering the varying operating conditions. …”
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Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies
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Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization
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Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks
Published 2024“…Furthermore, we propose two algorithms designed to achieve optimal throughput for each scenario. …”
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LOCATING DAMAGES IN THIN ALUMINIUM PLATES USING LAMB WAVES AND AGENETIC OPTIMIZATION APPROACH
Published 2021“…A new damage localization method based on Lamb waves is presented here for thin aluminium (Al) plate specimens using a Genetic optimization (GO) approach. …”
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