Adaptive predator prey algorithm for many objective optimization [PDF]
Scientific ReportsBalancing diversity and convergence among solutions in many-objective optimization is challenging, particularly in high-dimensional spaces with conflicting objectives.
Nikunj Mashru +5 more
doaj +4 more sources
A many-objective evolutionary algorithm based on three states for solving many-objective optimization problem [PDF]
Scientific ReportsIn recent years, researchers have taken the many-objective optimization algorithm, which can optimize 5, 8, 10, 15, 20 objective functions simultaneously, as a new research topic.
Jiale Zhao +5 more
doaj +4 more sources
A many-objective Jaya algorithm for many-objective optimization problems [PDF]
Decision Science Letters, 2018 The proposed work presents the design and application of many-objective Jaya (MaOJaya) algorithm to optimize many-objective benchmark optimization problems.
Sandeep U. Mane +2 more
doaj +2 more sources
Many-objective African vulture optimization algorithm: A novel approach for many-objective problems.
PLoS ONE, 2023 Several optimization problems can be abstracted into many-objective optimization problems (MaOPs). The key to solving MaOPs is designing an effective algorithm to balance the exploration and exploitation issues. This paper proposes a novel many-objective
Heba Askr +4 more
doaj +3 more sources
Many-Objective Brain Storm Optimization Algorithm [PDF]
IEEE Access, 2019 In recent years, many evolutionary algorithms and population-based algorithms have been developed for solving many-objective optimization problems. Inspired by the human brainstorming conference, Brain Storming Optimization (BSO) algorithm was guided by ...
Yali Wu +3 more
doaj +2 more sources
An improved farmland fertility algorithm for many-objective optimization problems [PDF]
Scientific Reports, 2022 Recent studies on many-objective optimization problems (MaOPs) have tended to employ some promising evolutionary algorithms with excellent convergence accuracy and speed. However, difficulties in scalability upon MaOPs including the selection of leaders,
Yanjiao Wang, Peng Gao, Ye Chen
doaj +2 more sources
International Journal of Computational Intelligence SystemsIn this paper, a novel Many-Objective Whale Optimization Algorithm (MaOWOA) is proposed to overcome the challenges of large-scale many-objective optimization problems (LSMOPs) encountered in diverse fields such as engineering.
Kanak Kalita +6 more
doaj +2 more sources
Improved many-objective particle swarm optimization based welding sequence optimization research [PDF]
PLoS ONEWelding sequence optimization (WSO) for ship components is a complex, multi-objective, and nonlinear challenge. Traditional methods relying heavily on engineer experience often lead to inadequate decisions, resulting in excessive deformation, residual ...
Lei Dong +4 more
doaj +3 more sources
Reference Point and Grid Method-Based Evolutionary Algorithm with Entropy for Many-Objective Optimization Problems [PDF]
EntropyIn everyday scenarios, there are many challenges involving multi-objective optimization. As the count of objective functions rises to four or beyond, the problem’s complexity intensifies considerably, often making it challenging for traditional ...
Qi Leng, Bo Shan, Chong Zhou
doaj +2 more sources
Many objective optimization and decision support for dairy cattle feed formulation [PDF]
Scientific ReportsLivestock feed formulation has significant impacts on livestock production and the environment. Linear and nonlinear constraints, framed as nutritional requirements and specific objectives, present a continuous challenge in achieving optimal feed ...
Member Joy Usigbe +4 more
doaj +2 more sources