Parallel genetic algorithms: a useful survey
In this article, we encompass an analysis of the recent advances in parallel genetic
algorithms (PGAs). We have selected these algorithms because of the deep interest in many …
algorithms (PGAs). We have selected these algorithms because of the deep interest in many …
Bio-inspired computation: Where we stand and what's next
In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
A survey of swarm intelligence for dynamic optimization: Algorithms and applications
Swarm intelligence (SI) algorithms, including ant colony optimization, particle swarm
optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish …
optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish …
An adaptive approach for UAV-based pesticide spraying in dynamic environments
Agricultural production has become a key factor for the stability of the world economy. The
use of pesticides provides a more favorable environment for the crops in agricultural …
use of pesticides provides a more favorable environment for the crops in agricultural …
A survey of evolutionary continuous dynamic optimization over two decades—Part A
Many real-world optimization problems are dynamic. The field of dynamic optimization deals
with such problems where the search space changes over time. In this two-part article, we …
with such problems where the search space changes over time. In this two-part article, we …
Benchmarks for dynamic multi-objective optimisation algorithms
M Helbig, AP Engelbrecht - ACM Computing Surveys (CSUR), 2014 - dl.acm.org
Algorithms that solve Dynamic Multi-Objective Optimisation Problems (DMOOPs) should be
tested on benchmark functions to determine whether the algorithm can overcome specific …
tested on benchmark functions to determine whether the algorithm can overcome specific …
Deformation forecasting of a hydropower dam by hybridizing a long short‐term memory deep learning network with the coronavirus optimization algorithm
The safety operation and management of hydropower dam play a critical role in social‐
economic development and ensure people's safety in many countries; therefore, modeling …
economic development and ensure people's safety in many countries; therefore, modeling …
Performance measures for dynamic multi-objective optimisation algorithms
M Helbig, AP Engelbrecht - Information Sciences, 2013 - Elsevier
When algorithms solve dynamic multi-objective optimisation problems (DMOOPs),
performance measures are required to quantify the performance of the algorithm and to …
performance measures are required to quantify the performance of the algorithm and to …
A MOPSO algorithm based on pareto dominance concept for comprehensive analysis of a conventional adsorption desiccant cooling system
Abstract Multi-Objective Particle Swarm Optimization (MOPSO) algorithm based on the
concept of Pareto optimality was used to efficiently evaluate the thermal performance of a …
concept of Pareto optimality was used to efficiently evaluate the thermal performance of a …
A hybrid crow search algorithm for solving the DNA fragment assembly problem
M Allaoui, B Ahiod, M El Yafrani - Expert Systems with Applications, 2018 - Elsevier
The sequencing of DNA goes through a step of fragment assembly, this step is known as
DNA fragment assembly problem (FAP). Fragment assembly is considered as an NP-hard …
DNA fragment assembly problem (FAP). Fragment assembly is considered as an NP-hard …