We present a state-of-the-art survey of parallel meta-heuristic strategies, developments, and results. We discuss general design and implementation principles that apply to most metaheuristic classes and instantiate these principles for neighborhood and population-based metaheuristics. We also identify a number of trends and promising research directions.

In fuzzy optimization it is desirable that all fuzzy solutions under consideration be attainable, so that the decision maker will be able to make ‘‘a posteriori’’ decisions according to current decision environments. No additional optimization runs will be needed when the decision environment changes or when the decision maker needs to evaluate several decisions to establish the most appropriat...

In this paper, a new improved Differential Search Algorithm optimization approach is proposed and successfully applied to the design and tuning of a PID-type Fuzzy Logic Controller. The scaling factors tuning problem of the Fuzzy Logic Controller structure is formulated and systematically resolved, using the improved constrained Differential Search Algorithm-based method. A comparison, with the...

In this article we build multi-objective hyperheuristics (MOHHs) using the multi-objective evolutionary algorithm NSGA-II for solving irregular 2D cutting stock problems under a bi-objective minimization schema, having a trade-off between the number of sheets used to fit a finite number of pieces and the time required to perform the placement of these pieces. We solve this problem using a multi...

A novel approach for multi-objective generation scheduling is presented. The work reported here employs a simple heuristics-guided evolutionary algorithm to generate solutions to this nonlinear constrained optimization problem where the objectives are mutually conflicting and equally important. The algorithm produces a cost-emission frontier of Pareto-optimal solutions, any of which can be sele...

Abstract Every year, new ontology matching approaches have been published to address the heterogeneity problem in ontologies. It is well known that no one able stand out from others all aspects. An meta-matcher combines different alignment techniques explore various aspects of avoid performance being restricted some characteristics. The meta-matching process consists several stages execution, a...

In order to lowering level of emissions of internal combustion engines (ICEs), they should be optimally controlled. However, ICEs operate under numerous operating conditions, which in turn makes it difficult to design controller for such nonlinear systems. In this article, a generalized unique controller for idle speed control under whole loading conditions is designed. In the current study, in...

Nowadays, with the growth of technology and the industrialization of societies, work-related accidents, and consequently the threat of human capital and material resources are among the problems of the countries of the world. The most important legal solution in most countries to control occupational accidents and illnesses is to conduct periodic site visits and identify hazardous sites. To the...

In this paper we present a Genetic Algorithm (GA) with problem-specific operators for the layered digraph drawing problem and compare it with two very different meta-heuristics: Tabu search and Multi-start descents. Tabu search has previously proved to be better than the classical deterministic local heuristic often employed in graph drawing. Here, we show on a set of 282 medium-sized graphs th...