Recent advances in differential evolution–an updated survey
Differential Evolution (DE) is arguably one of the most powerful and versatile evolutionary
optimizers for the continuous parameter spaces in recent times. Almost 5 years have passed …
optimizers for the continuous parameter spaces in recent times. Almost 5 years have passed …
Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study
The whale optimization algorithm (WOA) is a prominent problem solver which is broadly
applied to solve NP-hard problems such as feature selection. However, it and most of its …
applied to solve NP-hard problems such as feature selection. However, it and most of its …
A survey on binary metaheuristic algorithms and their engineering applications
This article presents a comprehensively state-of-the-art investigation of the engineering
applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based …
applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based …
Binary chimp optimization algorithm (BChOA): a new binary meta-heuristic for solving optimization problems
Chimp optimization algorithm (ChOA) is a newly proposed meta-heuristic algorithm inspired
by chimps' individual intelligence and sexual motivation in their group hunting. The …
by chimps' individual intelligence and sexual motivation in their group hunting. The …
A new selection operator for differential evolution algorithm
Z Zeng, M Zhang, T Chen, Z Hong - Knowledge-Based Systems, 2021 - Elsevier
Most research on improving differential evolution algorithms has focused on mutation
operator and parameter control. In this paper, a new selection operator is proposed to …
operator and parameter control. In this paper, a new selection operator is proposed to …
Boosting whale optimizer with quasi-oppositional learning and Gaussian barebone for feature selection and COVID-19 image segmentation
Whale optimization algorithm (WOA) tends to fall into the local optimum and fails to converge
quickly in solving complex problems. To address the shortcomings, an improved WOA …
quickly in solving complex problems. To address the shortcomings, an improved WOA …
Smart home energy management optimization method considering energy storage and electric vehicle
As the last link of an integrated future energy system, the smart home energy management
system (HEMS) is critical for a prosumer to intelligently and conveniently manage the use of …
system (HEMS) is critical for a prosumer to intelligently and conveniently manage the use of …
JayaX: Jaya algorithm with xor operator for binary optimization
Jaya is a population-based heuristic optimization algorithm proposed for solving constrained
and unconstrained optimization problems. The peculiar distinct feature of Jaya from the …
and unconstrained optimization problems. The peculiar distinct feature of Jaya from the …
A binary reptile search algorithm based on transfer functions with a new stochastic repair method for 0–1 knapsack problems
Abstract The Reptile Search Algorithm (RSA), inspired by crocodiles' hunting behavior, is a
recently introduced nature-inspired algorithm. Although the original version of the RSA …
recently introduced nature-inspired algorithm. Although the original version of the RSA …
Novel binary differential evolution algorithm for knapsack problems
The capability of the conventional differential evolution algorithm to solve optimization
problems in continuous spaces has been well demonstrated and documented in the …
problems in continuous spaces has been well demonstrated and documented in the …