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Human-inspired optimization algorithms: Theoretical foundations, algorithms, open-research issues and application for multi-level thresholding
Humans take immense pride in their ability to be unpredictably intelligent and despite huge
advances in science over the past century; our understanding about human brain is still far …
advances in science over the past century; our understanding about human brain is still far …
[HTML][HTML] Mayfly optimization algorithm: a review
This paper gives a review on the bio-inspired optimization methodology known as mayfly
(MA) algorithm in order to resolve issues in optimization techniques. It is a newly formed …
(MA) algorithm in order to resolve issues in optimization techniques. It is a newly formed …
[HTML][HTML] Optimal fractional PID controller for buck converter using cohort intelligent algorithm
The control of power converters is difficult due to their non-linear nature and, hence, the
quest for smart and efficient controllers is continuous and ongoing. Fractional-order …
quest for smart and efficient controllers is continuous and ongoing. Fractional-order …
Design and economic optimization of shell-and-tube heat exchanger using cohort intelligence algorithm
Heat exchangers play a key role in wide industrial applications. Due to their complex design
and high manufacturing cost, their efficient operation and optimum design are quite …
and high manufacturing cost, their efficient operation and optimum design are quite …
DC-SHADE-IF: An infeasible–feasible regions constrained optimization approach with diversity controller
To address constrained optimization problems (COPs), there are two crucial trade-offs in
preeminent constrained evolutionary algorithms:(1) the trade-off between exploration and …
preeminent constrained evolutionary algorithms:(1) the trade-off between exploration and …
[PDF][PDF] Application of grasshopper optimization algorithm for constrained and unconstrained test functions
Grasshopper Optimization algorithm is one of the recent algorithm for optimization. This
algorithm is swarm based nature inspired algorithm which mimics and mathematically …
algorithm is swarm based nature inspired algorithm which mimics and mathematically …
Optimal analysis for optimal design of cyclic symmetric structures subject to frequency constraints
In general, the design optimization of large-scale structural systems is an extremely
computationally expensive process. However, optimal structural analysis provides efficient …
computationally expensive process. However, optimal structural analysis provides efficient …
[HTML][HTML] Minimization of torque ripple in the brushless DC motor using constrained cuckoo search algorithm
This paper presents the application of the cuckoo search (CS) algorithm in attempts to the
minimization of the commutation torque ripple in the brushless DC motor (BLDC). The …
minimization of the commutation torque ripple in the brushless DC motor (BLDC). The …
A hybrid generalized reduced gradient-based particle swarm optimizer for constrained engineering optimization problems
A hybrid algorithm is presented that combines strong points of Particle Swarm Optimization
(PSO) and Generalized Reduced Gradient (GRG) algorithm to keep a good compromise …
(PSO) and Generalized Reduced Gradient (GRG) algorithm to keep a good compromise …
Cohort intelligence with self-adaptive penalty function approach hybridized with colliding bodies optimization algorithm for discrete and mixed variable constrained …
Abstract Recently, several socio-/bio-inspired algorithms have been proposed for solving a
variety of problems. Generally, they perform well when applied for solving unconstrained …
variety of problems. Generally, they perform well when applied for solving unconstrained …