A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization
In real life, there are many dynamic multi-objective optimization problems which vary over
time, requiring an optimization algorithm to track the movement of the Pareto front (Pareto …
time, requiring an optimization algorithm to track the movement of the Pareto front (Pareto …
R-metric: Evaluating the performance of preference-based evolutionary multiobjective optimization using reference points
Measuring the performance of an algorithm for solving multiobjective optimization problem
has always been challenging simply due to two conflicting goals, ie, convergence and …
has always been challenging simply due to two conflicting goals, ie, convergence and …
An adaptive weight vector guided evolutionary algorithm for preference-based multi-objective optimization
Recently, multi-objective evolutionary algorithms (MOEAs) have been widely explored and
applied to many real-world problems. Particularly, preference-based MOEAs are among the …
applied to many real-world problems. Particularly, preference-based MOEAs are among the …
MoSSE: a novel hybrid multi-objective meta-heuristic algorithm for engineering design problems
G Dhiman, M Garg - Soft Computing, 2020 - Springer
This paper introduces a novel hybrid optimization algorithm called MoSSE by combining the
features of Multi-objective Spotted Hyena Optimizer (MOSHO), Salp Swarm Algorithm (SSA) …
features of Multi-objective Spotted Hyena Optimizer (MOSHO), Salp Swarm Algorithm (SSA) …
A predictive strategy based on special points for evolutionary dynamic multi-objective optimization
There are some real-world problems in which multiple objectives conflict with each other
and the objectives change with time. These problems require an optimization algorithm to …
and the objectives change with time. These problems require an optimization algorithm to …
GenYacht: An interactive generative design system for computer-aided yacht hull design
In the present work, a new digital design system, GenYacht, is proposed for the creation of
optimal and user-centred yacht hull forms. GenYacht is a hybrid system involving generative …
optimal and user-centred yacht hull forms. GenYacht is a hybrid system involving generative …
Multi-objective optimization for sustainable development of the power sector: An economic, environmental, and social analysis of Iran
MS Atabaki, V Aryanpur - Energy, 2018 - Elsevier
This paper aims to analyze Iran's long-term power sector development from economic,
environmental, social, and sustainable perspectives. For this purpose, a linear programming …
environmental, social, and sustainable perspectives. For this purpose, a linear programming …
A multiobjective evolutionary algorithm for finding knee regions using two localized dominance relationships
In preference-based optimization, knee points are considered the naturally preferred tradeoff
solutions, especially when the decision maker has little a priori knowledge about the …
solutions, especially when the decision maker has little a priori knowledge about the …
Benchmark problems and performance indicators for search of knee points in multiobjective optimization
In multiobjective optimization, it is nontrivial for decision makers to articulate preferences
without a priori knowledge, which is particularly true when the number of objectives …
without a priori knowledge, which is particularly true when the number of objectives …
Adaptive neighborhood selection for many-objective optimization problems
It is generally accepted that conflicts between convergence and distribution deteriorate with
an increase in the number of objectives. Furthermore, Pareto dominance loses its …
an increase in the number of objectives. Furthermore, Pareto dominance loses its …