Genome‐Scale Metabolic Model's multi‐objective solving algorithm based on the inflexion point of Pareto front including maximum energy utilization and its application in Aspergillus niger DS03043
Sign Up to like & getrecommendations! Published in 2022 at "Biotechnology and Bioengineering"
DOI: 10.1002/bit.28078
Abstract: The solution of Genome‐Scale Metabolic Model (GSMM) directly affects the simulation accuracy of the metabolic process in digital cells. Single‐objective optimization methods, such as flux balance analysis (FBA), which is widely used in solving GSMM,… read more here.
Keywords: scale metabolic; multi objective; pareto front; gsmm ... See more keywords
Approximating the Pareto front of a bi-objective problem in telecommunication networks using a co-evolutionary algorithm
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DOI: 10.1007/s11276-018-01921-4
Abstract: This paper studies a telecommunication network design problem. In this network, users must be connected to capacitated hubs. Then, hubs that concentrate users must be connected to each other and possibly to other hubs with… read more here.
Keywords: pareto; objective problem; problem; front objective ... See more keywords
Pareto Front Particle Swarm Optimizer for Discrete Time-Cost Trade-Off Problem
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DOI: 10.1061/(asce)cp.1943-5487.0000606
Abstract: AbstractIntensive heuristic and metaheuristic research efforts have focused on the Pareto front optimization of discrete time-cost trade-off problem (DTCTP). However, very little success has been achieved in solving the problem for medium and large-scale projects.… read more here.
Keywords: time cost; particle swarm; optimization; pareto ... See more keywords
Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates
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DOI: 10.1109/tcyb.2018.2811761
Abstract: This paper proposes a Gaussian process (GP) based co-sub-Pareto front surrogate augmentation strategy for evolutionary optimization of computationally expensive multiobjective problems. In the proposed algorithm, a multiobjective problem is decomposed into a number of subproblems,… read more here.
Keywords: pareto; expensive multiobjective; evolutionary optimization; sub pareto ... See more keywords