«metaheuristic algorithm»
۵۳۵۳ نتیجهComputational Intelligence and Metaheuristic Algorithms with Applications
Nature-inspiredmetaheuristic algorithms have become powerful and popular in computational intelligence and many applications. There are some important developments in recent years, and this special issue aims to provide a timely review of such developments, including ant colony o
Quantile Regression using Metaheuristic Algorithms
This paper demonstrates that metaheuristic algorithms can provide a useful general framework for estimating both linear and nonlinear econometric models. Two metaheuristic algorithms—firefly and accelerated particle swarm optimization—are employed in the context of several quanti
Investigation on Bio-Inspired Population Based Metaheuristic Algorithms for Optimization Problems in Ad Hoc Networks
Nature is a great source of inspiration for solving complex problems in networks. It helps to find the optimal solution. Metaheuristic algorithm is one of the nature-inspired algorithm which helps in solving routing problem in networks. The dynamic features, changing of topology
Shape and size optimization of truss structures considering dynamic constraints through modern metaheuristic algorithms
Mass optimization on shape and sizing with multiple natural frequency constraints are highly nonlinear dynamic optimization problems. Multiple natural frequency constraints normally cause difficult dynamic sensitivity analysis and, in addition, two different types of design varia
A Suite of Metaheuristic Algorithms for Static Weapon-Target Allocation
The problem of allocating defensive weapon resources to hostile targets is an optimization problem of high military relevance. The need for obtaining the solutions in real-time is often overlooked in existing literature. Moreover, there does not exist much research aimed at compa
A Hybrid Metaheuristic Algorithm for Classification using Micro array Data
A metaheuristic algorithms provide effective methods to solve complex problems using f inite sequence of instructions. It can be defined as an iterative search process that eff iciently performs the exploration and exploitation in the solution space aiming to eff icient ly f ind
Rapid and Flexible User-Defined Low-Level Hybridization for Metaheuristics Algorithm in Software Framework
The metaheuristics algorithm is increasingly important in solving many kinds of real-life optimization problems but the implementation involves programming difficulties. As a result, many researchers have relied on software framework to accelerate the development life cycle. Howe
An Improved Metaheuristic Algorithm for Maximizing Demand Satisfaction in the Population Harvest Cutting Stock Problem
We present a greedy version of an existing metaheuristic algorithm for a special version of the Cutting Stock Problem (CSP). For this version, it is only possible to have indirect control over the patterns via a vector of continuous values which we refer to as a weights vector. O
Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm
During the past decade, solving complex optimization problems with metaheuristic algorithms has received considerable attention among practitioners and researchers. Hence, many metaheuristic algorithms have been developed over the last years. Many of these algorithms are inspired
Three improved hybrid metaheuristic algorithms for engineering design optimization
This paper presents three hybrid metaheuristic algorithms that further improve the two hybrid differential evolution (DE) metaheuristic algorithms described in Liao [1]. The three improved algorithms are: (i) MDE′–HJ, which is a modification of MA–MDE′ in Liao [1] by replacing th