Fitness–Distance Balance based adaptive guided differential evolution algorithm for security-constrained optimal power flow problem incorporating renewable energy …
One of the most difficult types of problems computationally is the security-constrained
optimal power flow (SCOPF), a non-convex, nonlinear, large-scale, nondeterministic …
optimal power flow (SCOPF), a non-convex, nonlinear, large-scale, nondeterministic …
Space division and adaptive selection strategy based differential evolution algorithm for multi-objective satellite range scheduling problem
Satellite range scheduling always plays a crucial role in tracking, telemetry, and control of
the spacecraft. With the significant increase in the number and type of satellites in orbit, the …
the spacecraft. With the significant increase in the number and type of satellites in orbit, the …
Differential evolution with orthogonal array‐based initialization and a novel selection strategy
Differential evolution (DE) has been a simple yet effective algorithm for global optimization
problems. The performance of DE highly depends on its operators and parameter settings …
problems. The performance of DE highly depends on its operators and parameter settings …
Orbital maneuver optimization of earth observation satellites using an adaptive differential evolution algorithm
Earth observation satellite (EOS) systems often encounter emergency observation tasks
oriented to sudden disasters (eg, earthquake, tsunami, and mud-rock flow). However, EOS …
oriented to sudden disasters (eg, earthquake, tsunami, and mud-rock flow). However, EOS …
Differential evolution ensemble designer
MT Indu - Expert Systems with Applications, 2024 - Elsevier
A meta-evolutionary framework called Differential Evolution Ensemble Designer (DEED) has
been proposed in this paper to automate the design of DE ensemble algorithms. Given the …
been proposed in this paper to automate the design of DE ensemble algorithms. Given the …
Multi-objective orbital maneuver optimization of multi-satellite using an adaptive feedback learning NSGA-II
Q Yin, G Wu, G Sun, Y Gu - Swarm and Evolutionary Computation, 2025 - Elsevier
Earth observation satellite (EOS) systems play a crucial role in performing emergency
monitoring tasks such as natural disasters. In terms of urgent observation tasks within a …
monitoring tasks such as natural disasters. In terms of urgent observation tasks within a …
A hybrid ant colony optimization algorithm for the knapsack problem with a single continuous variable
X Yang, Y Zhou, A Shen, J Lin, Y Zhong - Proceedings of the genetic and …, 2021 - dl.acm.org
Knapsack problem with a single continuous variable (KPC) is a natural extension of the
standard 0-1 knapsack problem. In the KPC, the capacity of the knapsack is not fixed, so it …
standard 0-1 knapsack problem. In the KPC, the capacity of the knapsack is not fixed, so it …
Synthetic biology: A solution for tackling nanomaterial challenges
Bioengineers have mastered practical techniques for tuning a biomaterial's properties with
only limited information on the relationship between the material's structure and function …
only limited information on the relationship between the material's structure and function …
Water wave optimization based data clustering model
A Kaur, Y Kumar - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
This paper presents data clustering model by adopting water wave optimization (WWO)
algorithm. In recent times, metaheuristics have gained significance to improve the efficiency …
algorithm. In recent times, metaheuristics have gained significance to improve the efficiency …
Differential evolution ensemble designer
I MT - 2024 - dl.acm.org
A meta-evolutionary framework called Differential Evolution Ensemble Designer (DEED) has
been proposed in this paper to automate the design of DE ensemble algorithms. Given the …
been proposed in this paper to automate the design of DE ensemble algorithms. Given the …