Red deer algorithm (RDA): a new nature-inspired meta-heuristic
Nature has been considered as an inspiration of several recent meta-heuristic algorithms.
This paper firstly studies and mimics the behavior of Scottish red deer in order to develop a …
This paper firstly studies and mimics the behavior of Scottish red deer in order to develop a …
The social engineering optimizer (SEO)
Although several meta-heuristics have been developed in the last two decades, most of
them are population-based, undergo many steps along with several parameters that make …
them are population-based, undergo many steps along with several parameters that make …
Optimization of municipal waste collection routing: Impact of industry 4.0 technologies on environmental awareness and sustainability
The accelerated movement of people towards cities led to the fact that the world's urban
population is now growing by 60-million persons per year. The increased number of cities' …
population is now growing by 60-million persons per year. The increased number of cities' …
League Championship Algorithm (LCA): An algorithm for global optimization inspired by sport championships
AH Kashan - Applied Soft Computing, 2014 - Elsevier
Abstract League Championship Algorithm (LCA) is a recently proposed stochastic
population based algorithm for continuous global optimization which tries to mimic a …
population based algorithm for continuous global optimization which tries to mimic a …
Smart scheduling: An integrated first mile and last mile supply approach
T Bányai, B Illés, Á Bányai - Complexity, 2018 - Wiley Online Library
Supply chain management applies more and more Industry 4.0 innovations to increase their
availability, elasticity, sustainability, and efficiency. In interconnected logistics networks …
availability, elasticity, sustainability, and efficiency. In interconnected logistics networks …
A multi-population differential evolution with best-random mutation strategy for large-scale global optimization
Y Ma, Y Bai - Applied Intelligence, 2020 - Springer
Differential evolution (DE) is an efficient population-based search algorithm with good
robustness, but it faces challenges in dealing with Large-Scale Global Optimization (LSGO) …
robustness, but it faces challenges in dealing with Large-Scale Global Optimization (LSGO) …
Self-adaptive differential evolution algorithm with a small and varying population size
In this paper we present self-adaptive differential evolution algorithm with a small and
varying population size on large scale global optimization. The experimental results …
varying population size on large scale global optimization. The experimental results …
Adaptive pattern search for large-scale optimization
The emergence of high-dimensional data requires the design of new optimization methods.
Indeed, conventional optimization methods require improvements, hybridization, or …
Indeed, conventional optimization methods require improvements, hybridization, or …
Application of an Adaptive Particle Swarm Optimization Algorithm in Structural Design of Pressure Vessels
Y **ao, M Zhao - … on Frontiers Technology of Information and …, 2022 - ieeexplore.ieee.org
The optimization design of pressure vessels is widely used in practical engineering. To
solve this problem, this paper proposes an adaptive particle swarm optimization algorithm …
solve this problem, this paper proposes an adaptive particle swarm optimization algorithm …
Orthogonal design and analysis of variance based performance analysis of differential evolution algorithm
DL Qin, ZF Li - Advanced Materials Research, 2013 - Trans Tech Publ
In the" call for paper" of 2013 IEEE Congress on Evolutionary Computation (CEC 2013),
Special Session on" Differential Evolution: Past, Present and Future"," Experimental design …
Special Session on" Differential Evolution: Past, Present and Future"," Experimental design …