A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems
This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …
Mixture optimization for environmental, economical and mechanical objectives in silica fume concrete: A novel frame-work based on machine learning and a new …
Partial replacement of cement by silica fume in concrete provides advantages such as
mitigation of the impact on the environment of carbon dioxide emitted during cement …
mitigation of the impact on the environment of carbon dioxide emitted during cement …
Nature-inspired algorithms from oceans to space: A comprehensive review of heuristic and meta-heuristic optimization algorithms and their potential applications in …
This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-
heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration …
heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration …
Differential evolution: a survey on their operators and variants
Abstract The Differential Evolution (DE) algorithm is one of the most popular and studied
approaches in Evolutionary Computation (EC). Its simple but efficient design, such as its …
approaches in Evolutionary Computation (EC). Its simple but efficient design, such as its …
A novel dynamic operation optimization method based on multiobjective deep reinforcement learning for steelmaking process
C Liu, L Tang, C Zhao - IEEE Transactions on Neural Networks …, 2023 - ieeexplore.ieee.org
This article studies a dynamic operation optimization problem for a steelmaking process.
The problem is defined to determine optimal operation parameters that bring smelting …
The problem is defined to determine optimal operation parameters that bring smelting …
Optimal allocation of distribution generation sources with sustainable energy management in radial distribution networks using metaheuristic algorithm
The optimal allocation and distribution of power from various distribution sources, supported
by effective energy management, pose significant research challenges in distribution …
by effective energy management, pose significant research challenges in distribution …
Humanoid robot path planning using memory-based gravity search algorithm and enhanced differential evolution approach in a complex environment
DR Parhi, AK Kashyap - Expert Systems with Applications, 2023 - Elsevier
The present work focuses on the optimal path planning of humanoid robots in a rugged
terrain using a hybrid-based improved gravitational search algorithm (IGSA) tuned with a …
terrain using a hybrid-based improved gravitational search algorithm (IGSA) tuned with a …
Analysis of structural bias in differential evolution configurations
Differential Evolution is a popular optimisation method with a small number of parameters.
However, different hyper-parameters and Differential Evolution variants such as different …
However, different hyper-parameters and Differential Evolution variants such as different …
Multi-objective optimization of adiabatic styrene reactors using Generalized Differential Evolution 3 (GDE3)
In this study, industrial styrene reactors were optimized using the multi-objective algorithm
Generalized Differential Evolution 3 (GDE3) to maximize their conversion and selectivity …
Generalized Differential Evolution 3 (GDE3) to maximize their conversion and selectivity …
Evolutionary design of marginally robust multivariable PID controller
Two Margin-based design methods for tuning of decentralized PI controllers for multivariable
systems are presented. The first method is predefined marginally robust controller (PMR) …
systems are presented. The first method is predefined marginally robust controller (PMR) …