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Nonlinear integer and discrete programming in mechanical design optimization
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This article is published in Journal of Mechanisms Transmissions and Automation in Design.The article was published on 1990-01-01 and is currently open access. It has received 8 citations till now. The article focuses on the topics: Branch and price & Integer programming.read more
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Journal ArticleDOI
A Review of Deterministic Optimization Methods in Engineering and Management
TL;DR: Recent advances in deterministic methods for solving signomial programming problems and mixed-integer nonlinear programming problems are introduced and important applications of these methods are reviewed to reveal the usefulness of the optimization methods.
Journal ArticleDOI
Modified Spider Monkey Optimization based on Nelder–Mead method for global optimization
TL;DR: The preliminary results show that the modified version of SMO has excellent ability to avoid the limitations of the tradition SMO algorithm, as well as, it provides better results than the other comparative algorithms regarding performance measures.
Journal ArticleDOI
A Diversity-Enhanced Constrained Particle Swarm Optimizer for Mixed Integer-Discrete-Continuous Engineering Design Problems
TL;DR: This work transforms the constrained optimization problem into an unconstrained problem without introducing problem-dependent or user-defined parameters such as penalty factors or Lagrange multipliers, and extends the above PSO method to handle integer, discrete, and continuous design variables in a simple manner with a high degree of precision.
Journal ArticleDOI
Multi-core sine cosine optimization: Methods and inclusive analysis
Zhou Wei,Pengjun Wang,Ali Asghar Heidari,Ali Asghar Heidari,Mingjing Wang,Xuehua Zhao,Huiling Chen +6 more
TL;DR: A new multi-core SCA named SGLSCA is developed, which is combined with three strategies based on the patterns of Salp Swarm Algorithm, Grey Wolf Optimizer, and Levy flight, which outperforms other optimizers including LSHADE-cnEpSin and LSHade methods in terms of both convergence and optimality of solutions.
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