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A review of population-based metaheuristics for large-scale black-box global optimization—Part I
Scalability of optimization algorithms is a major challenge in co** with the ever-growing
size of optimization problems in a wide range of application areas from high-dimensional …
size of optimization problems in a wide range of application areas from high-dimensional …
Parameter adaptation-based ant colony optimization with dynamic hybrid mechanism
In this paper, a parameter adaptation-based ant colony optimization (ACO) algorithm based
on particle swarm optimization (PSO) algorithm with the global optimization ability, fuzzy …
on particle swarm optimization (PSO) algorithm with the global optimization ability, fuzzy …
An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem
In this paper, an improved ant colony optimization (ICMPACO) algorithm based on the multi-
population strategy, co-evolution mechanism, pheromone updating strategy, and …
population strategy, co-evolution mechanism, pheromone updating strategy, and …
[PDF][PDF] Neural networks optimization through genetic algorithm searches: a review
Neural networks and genetic algorithms are the two sophisticated machine learning
techniques presently attracting attention from scientists, engineers, and statisticians, among …
techniques presently attracting attention from scientists, engineers, and statisticians, among …
Discrete Grey Wolf Optimizer for symmetric travelling salesman problem
Abstract Grey Wolf Optimizer (GWO) is a recently developed population-based metaheuristic
algorithm which imitates the behaviour of grey wolves for survival. Initially, GWO was …
algorithm which imitates the behaviour of grey wolves for survival. Initially, GWO was …
A novel collaborative optimization algorithm in solving complex optimization problems
To overcome the deficiencies of weak local search ability in genetic algorithms (GA) and
slow global convergence speed in ant colony optimization (ACO) algorithm in solving …
slow global convergence speed in ant colony optimization (ACO) algorithm in solving …
Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction
The two-layer fuzzy multiple random forest (TLFMRF) is proposed for speech emotion
recognition. When recognizing speech emotion, there are usually some problems. One is …
recognition. When recognizing speech emotion, there are usually some problems. One is …
Simulated annealing based symbiotic organisms search optimization algorithm for traveling salesman problem
Abstract Symbiotic Organisms Search (SOS) algorithm is an effective new metaheuristic
search algorithm, which has recently recorded wider application in solving complex …
search algorithm, which has recently recorded wider application in solving complex …
A swap sequence based artificial bee colony algorithm for traveling salesman problem
In this research paper, Artificial Bee Colony algorithm is modified with multiple update rules
and K-opt operation to solve the Traveling Salesman Problem. Here the features of swap …
and K-opt operation to solve the Traveling Salesman Problem. Here the features of swap …
A new hybrid particle swarm and simulated annealing stochastic optimization method
A novel hybrid particle swarm and simulated annealing stochastic optimization method is
proposed. The proposed hybrid method uses both PSO and SA in sequence and integrates …
proposed. The proposed hybrid method uses both PSO and SA in sequence and integrates …