Improved teaching learning algorithm with Laplacian operator for solving nonlinear engineering optimization problems
Abstract Teaching Learning Algorithm (TLA) is a recently developed nature-inspired
optimization technique applicable to complex optimization problems. This paper proposes …
optimization technique applicable to complex optimization problems. This paper proposes …
[HTML][HTML] Biogeography Based optimization with Salp Swarm optimizer inspired operator for solving non-linear continuous optimization problems
In this paper, a novel attempt is made to incorporate the two effective algorithm strategies,
where BBO has a strong exploration and Salp Swarm Algorithm (SSA) is used for …
where BBO has a strong exploration and Salp Swarm Algorithm (SSA) is used for …
Ensemble Laplacian Biogeography-Based Sine Cosine Algorithm for Structural Engineering Design Optimization Problems
In this paper, an ensemble metaheuristic algorithm (denoted as LX-BBSCA) is introduced. It
combines the strengths of Laplacian Biogeography-Based Optimization (LX-BBO) and the …
combines the strengths of Laplacian Biogeography-Based Optimization (LX-BBO) and the …
[PDF][PDF] LX-BBSCA: Laplacian biogeography-based sine cosine algorithm for structural engineering design optimization
LX-BBSCA: Laplacian biogeography-based sine cosine algorithm for structural engineering
design optimization Page 1 AIMS Mathematics, 8(12): 30610–30638. DOI: 10.3934/math.20231565 …
design optimization Page 1 AIMS Mathematics, 8(12): 30610–30638. DOI: 10.3934/math.20231565 …
Porcellio scaber algorithm (PSA) for solving constrained optimization problems
In this paper, we extend a bio-inspired algorithm called the porcellio scaber algorithm (PSA)
to solve constrained optimization problems, including a constrained mixed discrete …
to solve constrained optimization problems, including a constrained mixed discrete …