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A survey on applications and variants of the cuckoo search algorithm
This paper introduces a comprehensive and exhaustive overview of the cuckoo search
algorithm (CSA). CSA is a metaheuristic swarm-based approach established by Yang and …
algorithm (CSA). CSA is a metaheuristic swarm-based approach established by Yang and …
Operational research in education
J Johnes - European journal of operational research, 2015 - Elsevier
Operational Research (OR) techniques have been applied, from the early stages of the
discipline, to a wide variety of issues in education. At the government level, these include …
discipline, to a wide variety of issues in education. At the government level, these include …
[HTML][HTML] A hybrid Harris Hawks optimizer for economic load dispatch problems
This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …
-Hill climbing: an exploratory local search
MA Al-Betar - Neural Computing and Applications, 2017 - Springer
Hill climbing method is an optimization technique that is able to build a search trajectory in
the search space until reaching the local optima. It only accepts the uphill movement which …
the search space until reaching the local optima. It only accepts the uphill movement which …
Economic load dispatch using memetic sine cosine algorithm
In this paper, the economic load dispatch (ELD) problem which is an important problem in
electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of …
electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of …
Hybrid snake optimizer algorithm for solving economic load dispatch problem with valve point effect
Snake optimizer (SO) is an optimization algorithm drawn from the reproductive habits of
serpents. It exhibits outstanding effectiveness in solving continuous optimization problems …
serpents. It exhibits outstanding effectiveness in solving continuous optimization problems …
A non-convex economic load dispatch using hybrid salp swarm algorithm
In this paper, the economic load dispatch (ELD) problem with valve point effect is tackled
using a hybridization between salp swarm algorithm (SSA) as a population-based algorithm …
using a hybridization between salp swarm algorithm (SSA) as a population-based algorithm …
Tournament-based harmony search algorithm for non-convex economic load dispatch problem
This paper proposes a tournament-based harmony search (THS) algorithm for economic
load dispatch (ELD) problem. The THS is an efficient modified version of the harmony …
load dispatch (ELD) problem. The THS is an efficient modified version of the harmony …
Gene selection for cancer classification by combining minimum redundancy maximum relevancy and bat-inspired algorithm
In this paper, the bat-inspired algorithm (BA) is tolerated to gene selection for cancer
classification using microarray datasets. Microarray data consists of irrelevant, redundant …
classification using microarray datasets. Microarray data consists of irrelevant, redundant …
A non-convex economic load dispatch problem with valve loading effect using a hybrid grey wolf optimizer
Economic load dispatch (ELD) is a crucial problem in the power system which is tackled by
distributing the required generation power through a set of units to minimize the fuel cost …
distributing the required generation power through a set of units to minimize the fuel cost …