A novel multi|stage multi|scenario multi|objective optimisation ...

[2312.11745] A novel multi-stage multi-scenario multi-objective ...

A novel multi-stage multi-scenario multi-objective optimisation framework for adaptive robust decision-making under deep uncertainty. Authors: ...

A novel multi-stage multi-scenario multi-objective optimisation ...

Keywords: Multi-objective optimisation, Multi-criteria decision-making, Scenario planning, Goal programming, Deep uncertainty, Dynamic robustness. Report issue ...

Multi-scenario multi-objective robust optimization under deep ...

Decision makers can explore trade-offs between Pareto optimality in selected scenarios and robustness over scenarios. •. A novel approach for scenario discovery ...

A novel multi-objective scenario-based optimization model for ...

Moghaddam (2015) proposed a fuzzy multi-objective optimization model to design a reverse logistics supply chain network, with uncertain demand, ...

Multi-scenario multi-objective robust optimization under deep ...

Abstract: This paper proposes a novel optimization approach for multi-scenario multi-objective robust decision making, as well as an ...

Multi-scenario multi-objective robust optimization under deep ...

Abstract. This paper proposes a novel optimization approach for multi-scenario multi-objective robust decision making, as well as an alternative way for ...

A Novel Multi-Objective Optimization Approach with Flexible ...

A Novel Multi-Objective Optimization Approach with Flexible Operation Planning Strategy for Truck Scheduling. Yiming Wang , Weibo Liu ...

A Novel Multi-Objective Optimization Based Evolutionary Algorithm ...

In the new era, the Internet of Everything (IoE) provides distributed services like data, processes, people, and things, etc.

A Novel Multi-Objective Competitive Swarm Optimization Algorithm

Instant access upon order completion. Abstract. In this article, a new algorithm, namely the multi-objective competitive swarm optimizer (MOCSO), ...

Applied Multi-objective Optimization | SpringerLink

The book discusses how meta-heuristic algorithms are successful in resolving challenging, multi-objective optimization issues in various disciplines, including ...

Multi-objective exponential distribution optimizer (MOEDO) - Nature

A standard MOEA operates in two main stages for every generation. The first stage employs evolutionary mechanisms like crossover and mutation to ...

Multiple Objective Optimisation : r/optimization - Reddit

What about "Multi-objective optimization using evolutionary algorithms" by K. ... What book(s) would you suggest for covering optimization ...

A Novel Cooperative Multi-Stage Hyper-Heuristic for Combination ...

A hyper-heuristic algorithm is a general solution framework that adaptively selects the optimizer to address complex problems.

a novel multi-objective coronavirus disease optimization algorithm ...

A novel multi-objective Coronavirus disease optimization algorithm (MOCOVIDOA) is presented to solve global optimization problems with up to ...

NSCSO: a novel multi-objective non-dominated sorting chicken ...

Addressing the challenge of efficiently solving multi-objective optimization problems (MOP) and attaining satisfactory optimal solutions has ...

Multi-objective optimization through a novel Bayesian approach for ...

The polymerization process starts with the generation of free radicals from the initiator (I) at a certain temperature (T) in a stage represented as chain ...

Crushing characteristics and multi-objective optimisation of a novel ...

Similarly, trains usually contain two-stage energy absorption devices due to the large impact energy, the first-stage device is a kind of expanding or shrink ...

Could any expert try to examine our novel approach for multi ...

The brand new approch was entitled "Probability - based multi - objective optimization for material selection", and published by Springer, ...

Multi objective optimization with Galapagos - McNeel Forum

Does anyone know a way to record the single optimization result from Galapagos? So it could be used for further optimization. Thank you for your ...

Solving single objective optimization using multi objective algorithm

Hence, the magic is often in how the algorithm sorts fitness scores. With a single-objective, this magic may be lost when trying to optimize ...